Note: This is not a complete list, but instead is a sample of peer-reviewed work over the past decade.


Aimon S., Katsuki T., Jia T., Grosenick L., Broxton M., Deisseroth K., Sejnowski T.J., Greenspan R.J. (2019). Fast near-whole-brain imaging in adult Drosophila during responses to stimuli and behavior. PLoS Biol. 2019 Feb 15;17(2):e2006732. doi: 10.1371/journal.pbio.2006732. [Epub ahead of print] PMID: 30768592.

Buccino A.P., Kuchta M., Jæger K.H., Ness T.V., Berthet P., Mardal K.A., Cauwenberghs G., Tveito A. (2019) How does the presence of neural probes affect extracellular potentials? J Neural Eng. 2019 Jan 31. doi: 10.1088/1741-2552/ab03a1. [Epub ahead of print]. PMID: 30703758.

Chen C.F., Kreutz-Delgado K., Sereno M.I., Huang R.S. (2019). Unraveling the spatiotemporal brain dynamics during a simulated reach-to-eat task. euroimage. 2019 Jan 15;185:58-71. doi: 10.1016/j.neuroimage.2018.10.028. Epub 2018 Oct 10. PMID: 30315910.

Padmanabhan K., Osakada F., Tarabrina A., Kizer E., Callaway E.M., Gage F.H., Sejnowski T.J. (2019). Centrifugal Inputs to the Main Olfactory Bulb Revealed Through Whole Brain Circuit-Mapping. Front Neuroanat. 2019 Jan 7;12:115. doi: 10.3389/fnana.2018.00115. eCollection 2018. PMID: 30666191.

Sampson A.L., Lainscsek C., Gonzalez C.E., Ulbert I., Devinsky O., Fabó D., Madsen J.R., Halgren E., Cash S.S., Sejnowski T.J. (2019). Delay differential analysis for dynamical sleep spindle detection. J Neurosci Methods. 2019 Mar 15;316:12-21. doi: 10.1016/j.jneumeth.2019.01.009. Epub 2019 Jan 30. PMID: 30707917.

Thakur C.S., Molin J.L., Cauwenberghs G., Indiveri G., Kumar K., Qiao N., Schemmel J., Wang R., Chicca E., Hasler J.O., Seo JS, Yu S., Cao Y., van Schaik A., Etienne-Cummings R. (2019). Corrigendum: Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain. Front Neurosci. 2019 Jan 7;12:991. doi: 10.3389/fnins.2018.00991. eCollection 2018. PMID: 30666180.



Artoni F., Delorme A., Makeig S. (2018). Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. Neuroimage. 2018 Mar 9; 175, 176-187. doi:10.1016/j.neuroimage.2018.03.016.

Burgos P.I., Mariman J.J., Makeig S., Rivera-Lillo G., Maldonado P.E. (2018). Visuomotor coordination and cortical connectivity of modular motor learning.Hum Brain Mapp. 2018 Oct;39(10):3836-3853. doi: 10.1002/hbm.24215. Epub 2018 May 15. PMID: 29766612.

Chang, C.Y., Hsu, S-H., Pion-Tonachini, L., & Jung, T-P. (2018, July). Evaluation of Artifact Subspace Reconstruction for Automatic EEG Artifact Removal. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1242-1245). IEEE. DOI: 10.1109/EMBC.2018.8512547.

Cherng, F.Y., Lin, W.C., King, J. T., & Lee, Y. C. (2018, April). Understanding the Influence of Musical Parameters on Cognitive Responses of Audio Notifications. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (p. LBW627). ACM. doi:10.1145/3170427.3188572.

Chiang, K.J., Wei, C-S., Nakanishi, M., Jung, T-P. (2018). Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces. Neurons and Cognition, submitted on 5 Oct 2018 (v1), last revised 3 Nov 2018 (this version, v3). arXiv:1810.02842 [q-bio.NC]

Choi, H.S., Kim, S., Oh, J.E., Yoon, J. E., Park, J. A., Yun, C. H., & Yoon, S. (2018, August). XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography. In Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 111-121). ACM. doi:10.1145/3233547.3233567.

Efrati, Y. & Gola, M. (2018). Treating compulsive sexual behavior. Current Sexual Health Reports, 1-8. doi: 10.1007/s11930-018-0143-8

Fonseca, A., Kerick, S., King, J.T., Lin, C. T., & Jung, T-P. (2018). Brain network changes in fatigued drivers: a longitudinal study in a real-world environment based on the effective connectivity analysis and actigraphy data. Frontiers in human neuroscience, 12. doi: [10.3389/fnhum.2018.00418].

Gola, M. & Potenza, M. (2018). The Proof of the Pudding Is in the Tasting: Data Are Needed to Test Models and Hypotheses Related to Compulsive Sexual Behaviors. Archives of Sexual Behaviors. 20, 1-3. doi: 10.1007/s10508-018-1167-x

Hawley, K., Huang, J.S., Goodwin, M., Diaz, D. de Sa, V.R., Birnie, K.A., Chambers, CT. Craig, K.D. (2018) Youth and Parent Appraisals of Participation in a Study of Spontaneous and Induced Pediatric Clinical Pain, Ethics & Behavior , link to paper

Hsu, S-H., Pion-Tonachini, L., Palmer, J., Miyakoshi, M., Makeig, S., Jung, TP. (2018). Modeling brain dynamic state changes with adaptive mixture independent component analysis. NeuroImage, Vol. 183: 47-61. December 2018. DOI:

Huang, L-Y., She, H-C., and Jung, T-P. (2018). Neural oscillation correlates chemistry decision-making. Internal Journal of Neural Systems, 28 (03), 1750031. doi: 10.1142/S0129065717500319

Huang, R.S., Chen, C.F., Sereno, M.I. (2018). Spatiotemporal integration of looming visual and tactile stimuli near the face. Hum Brain Mapp, 39(5), 2156–2176.

Kim, S., Yuan-Pin, L.I.N., Zao, J., Medeiros, F. and Jung, T-P., Ngoggle, 2018. Head-mounted display eeg device. U.S. Patent Application 15/572,482.

Moldakarimov, S. Bazhenov, M. Feldman, D. E. Sejnowski, T. J. Structured networks support sparse traveling waves in rodent somatosensory cortex, Proceedings of the National Academy of Sciences, USA, 115(20), 5277-5282, 2018 (PDF)

Nakanishi, M., Wang, Y., Chen, X., Wang, Y-T., Gao, X., Jung, T-P. (2018). Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis. IEEE Trans. Biomed. Eng, 65 (1), 104-112. doi: 10.1109/TBME.2017.2694818

Nakanishi, M., Wang, Y-T., Jung, T-P. (2018). Transferring Shared Responses Across Electrode Montages for Facilitating Calibration in High-Speed Brain Spellers. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). DOI: 10.1109/EMBC.2018.8512269.

Nakanishi, M., Wang, Y., Chen, X., Wang, Y.T., Gao, X., Jung, T-P. (2018). Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis. IEEE Transactions on Biomedical Engineering, 65(1), 2018. DOI: 10.1109/TBME.2017.2694818.

Okruszek, L., Jarkiewicz, M., Gola, M., Cello, M., Łojek, E. (2018). Working memory cognition-emotion interplay in schizophrenia: an ERP study. Cognitive, Affective & Behavioral Neuroscience, 1-10

Pion-Tonachini, L., Hsu, S. H., Chang, C. Y., Jung, T. P., & Makeig, S. (2018, July). Online Automatic Artifact Rejection using the Real-time EEG Source-mapping Toolbox (REST). In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 106-109). IEEE. DOI: 10.1109/EMBC.2018.8512191.

Ross J.M., Iversen J.R., Balasubramaniam R. (2018). The Role of Posterior Parietal Cortex in Beat-based Timing Perception: A Continuous Theta Burst Stimulation Study. J Cogn Neurosci. 2018 May;30(5):634-643. doi: 10.1162/jocn_a_01237. Epub 2018 Jan 18. PMID: 29346017

Siddharth, S., Jung, TP, Sejnowski, TJ (2018). Multi-modal Approach for Affective Computing. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). DOI: 10.1109/EMBC.2018.8512320.

Siddharth, S., Patel, A., Jung, T-P., Sejnowski, S. (2018). A Wearable Multi-modal Bio-sensing System Towards Real-world Applications. IEEE Transactions on Biomedical Engineering (Early Access), Sept. 4, 2018. DOI: 10.1109/TBME.2018.2868759.

Thakur CS, Molin JL, Cauwenberghs G, Indiveri G, Kumar K, Qiao N, Schemmel J, Wang R, Chicca E, Olson Hasler J, Seo JS, Yu S, Cao Y, van Schaik A, Etienne-Cummings R. (2018). Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain. Front Neurosci. 2018 Dec 3;12:891. doi: 10.3389/fnins.2018.00891. eCollection 2018. Review. Erratum in: Front Neurosci. 2019 Jan 07;12:991. PMID: 30559644.

Wagner, J., Wessel, J. R., Ghahremani, A., & Aron, A. R. (2018). Establishing a right frontal beta signature for stopping action in scalp EEG: implications for testing inhibitory control in other task contexts. Journal of Cognitive Neuroscience, 30(1), 107-118. doi: 10.1162/jocn_a_01183

Wang, Y.-K., Jung, T.-P., Lin, C.-T. (2018). Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving, Frontiers in Behavioral Neuroscience 12, 3. doi:10.3389/fnbeh.2018.00003

Wei, C.-S, Wang, Y.-T., Lin, C.-T., Jung, T.-P., Toward Drowsiness Detection Using Non-Hair-Bearing EEG-Based Brain-Computer Interfaces, IEEE Trans. Neural Syst. Rehab. Eng., 26(2), 400-406. doi: 10.1109/TNSRE.2018.2790359

Wei, C-S., Lin, Y-P., Wang, Y-T., Lin, C-T., Jung, T-P., (2018). Subject-Transfer Framework for Obviating Inter- and Intra-Subject Variability in EEG-Based Drowsiness Detection, NeuroImage, in press. doi: 10.1016/j.neuroimage.2018.03.032

Wen, D., Lan, X., Zhou, Y., Li, G., Hsu, S-H., Jung, T-P. The Study of Evaluation and Rehabilitation of Patients with Different Cognitive Impairment Phases Based on Virtual Reality and EEG, Front. Aging Neurosci., 03 April 2018. doi:10.3389/fnagi.2018.00088

Wordecha, M., Kowalewska, E., Wilk, M., Skorko, M. & Gola, M. (2018) Pornographic binges' as a key characteristic of males seeking treatment for compulsive sexual behaviors: Qualitative and quantitative 10-week long diary assessment. Journal of Behavioral Addictions. doi: 10.1556/2006.7.2018.33.

Wu, D., King, J.T., Chuang, C-H., Lin, C-T., Jung, T-P. (2018). Spatial Filtering for EEG-Based Regression Problems in Brain–Computer Interface (BCI). IEEE Transactions on Fuzzy Systems, 26(2), April 2018. DOI: 10.1109/TFUZZ.2017.2688423.

Xu, M., Xiao, X., Wang, Y., Jung, T.-P., Ming, D., (2018) A brain computer interface based on miniature event-related potentials induced by very small lateral visual stimuli. IEEE Trans. Biomed. Eng., 65(5), 1166-75. doi: 10.1109/TBME.2018.2799661


Huang, R.S., Sereno, M.I. (2018). Multisensory and Sensorimotor Maps, in: Vallar, G., Coslett, H.B. (Eds.), The Parietal Lobe (Handbook of Clinical Neurology, vol. 151). Elsevier, San Diego, CA, USA, pp. 141-161.

Nakanishi, M., Wang, Y-T., Jung, T-P. (2018). Spatial filtering techniques for improving individual template-based SSVEP detection. Chapter in book: Signal Processing and Machine Learning for Brain-Machine Interfaces. Publisher: The Institution of Engineering and Technology, pp. 219-239. DOI: 10.1049/pbce114e_ch11.

Sejnowski, T.J. (2018). The Deep Learning Revolution. The MIT Press (October 23, 2018). ISBN-10: 9780262038034.



Artoni, F., Fanciullacci, C., Bertolucci, F., Panarese, A., S Makeig, Micera, S., Chisari, C. (2017). Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking. NeuroImage, 159:403-416.

Braboszcz C, Cahn BR, Levy J, Fernandez M, Delorme A (2017). Increased Gamma Brainwave Amplitude Compared to Control in Three Different Meditation Traditions. PLoS ONE 12(1): e0170647. doi: 10.1371/journal.pone.0170647

Broccard FD, Joshi S, Wang J, Cauwenberghs G. Neuromorphic neural interfaces: from neurophysiological inspiration to biohybrid coupling with nervous systems. J Neural Eng. 2017 Jun 02; 14(4):041002. PMID: 28573983

Chien, Y-Y, Lin, F-C, Zao, J.K., Chou, C-C, Huang, Y-P, Kuo, H-Y, Wang, Y., Jung, T-P, Shieh, H-P. (2017). Polychromatic SSVEP stimuli with subtle flickering adapted to brain-display interactions. Journal of Neural Engineering, 14(1), 016018.

Cohn N, Kutas M. What is your neural function, visual narrative conjunction? Grammar, meaning, and fluency in sequential image processing. Cognitive research: principles and implications. 2017, May. ;2(1):27. PubMed PMID: 28603773; PubMed Central PMCID: PMC5442195

Courellis H, Mullen T, Poizner H, Cauwenberghs G and Iversen JR (2017). EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks. Front. Neurosci. 11:180. doi: 10.3389/fnins.2017.00180

Das, A. Sampson, A.L. Lainscsek, C. Muller, L. Lin, W, Doyle, J.C. Cash, S.S. Halgren E, Sejnowski, T.J. Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings, Neural Computation, 29(3), 603-642, 2017, Mar. PMCID: PMC5424817.

Dzwiniel, P., Gola, M., Wójcik-Gryciuk, A. & Waleszczyk, W. (2017). Specvis: free and open-source software for visual field examination. PloS One, 12(10): e0186224. doi: 10.1371/journal.pone.0186224

Feldmann-Wüstefeld, T., Miyakoshi, M., Petilli, M. A., Schubö, A., Makeig, S. (2017). Reduced visual attention in heterogeneous textures is reflected in occipital alpha and theta band activity. PLoS One, 12: e0187763

Gola M., Skorko, M., Kowalewska, E., Kołodziej, A., Sikora, M., Wodyk, M., Wodyk, Z., Dobrowolski, P. (2017). Polish adaptation of sexual addiction screening test -revised. Polish Psychiatry, 41, 1-40. doi: 10.12740/PP/OnlineFirst/61414

Gola, M., Skorko, M., Kowalewska, E., Kołodziej, A., Sikora, M., Wodyk, M., Wodyk, Z. and Dobrowolski, P. (2017). Polish adaptation of Sexual Addiction Screening Test - Revised. Polish Psychiatry, 42(1), 1-40. doi: 10.12740/PP/OnlineFirst/6141

Gola, M., Wordecha, M., Sescousse, G., Lew-Starowicz., M., Kossowski, B., Wypych, M., Potenza, M. & Marchewka, A. (2017). Can pornography be addictive? An fMRI study of men seeking treatment for problematic pornography use. Neuropsychopharmacology, 42, 2021-2031. doi:10.1038/npp.2017.78

Gould IG, Tsai P, Kleinfeld D, Linninger AJ. The capillary bed offers the largest hemodynamic resistance to the cortical blood supply. (2017, Jan). Journal of Cerebral Blood Flow & Metabolism, 37(1): 52-68. PMC5363755.

Gouraud J., Delorme A., Berberian B. (2017). Autopilot, Mind Wandering, and the Out of the Loop Performance Problem. Front Neurosci. 2017 Oct 5; 11:541. doi: 10.3389/fnins.2017.00541.

Heng, J. G., Wu, C. Y., Archer, J. A., Miyakoshi, M., Nakai, T., Chen, S. A. (2017). The role of regional heterogeneity in age-related differences in functional hemispheric asymmetry: an fMRI study. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 9, 1-24. doi: 10.1080/13825585.2017.1385721

Hsu, S-H. and Jung, T-P. (2017). Monitoring alert and drowsy states by modeling EEG source nonstationarity. Journal of Neural Engineering, 2017 Oct; 14(5):056012. doi: 10.1088/1741-2552/aa7a25

Huang, R.S., Chen, C.F., Sereno, M.I. (2017). Mapping the complex topological organization of the human parietal face area. Neuroimage, 163, 459–470.

Juavinett AL, Nauhaus I, Garrett ME, Zhuang J, Callaway EM. Automated identification of mouse visual areas with intrinsic signal imaging. Nat Protoc. 2017 Jan;12(1):32-43. doi: 10.1038/nprot.2016.158. PMID: 27906169.

K. Naviaux, Robert & Curtis, Brooke & Li, Kefeng & C. Naviaux, Jane & Taylor Bright, A & Reiner, Gail & Westerfield, Marissa & Goh, Suzanne & Alaynick, William & Wang, Lin & V. Capparelli, Edmund & Adams, Cynthia & Sun, Ji & Jain, Sonia & He, Feng & A. Arellano, Deyna & Mash, Lisa & Chukoskie, Leanne & Lincoln, Alan & Townsend, Jeanne. (May 2017). Low-dose suramin in autism spectrum disorder: a small, phase I/II, randomized clinical trial. Annals of Clinical and Translational Neurology.

Khoshnoud S., Shamsi M., Nazari M.A., Makeig S. (2017). Different cortical source activation patterns in children with attention deficit hyperactivity disorder during a time reproduction task. J Clin Exp Neuropsychol, 1-17. doi: 10.1080/13803395.2017.1406897

Ko L-W, Komarov O, Hairston WD, Jung T-P, Lin C-T. (2017). Sustained Attention in Real Classroom Settings: An EEG Study. Frontiers in Human Neuroscience. 2017, 11: 388. doi:10.3389/fnhum.2017.00388.

Lewczuk, K., Szmyd, J., Skorko, M. & Gola, M. (2017) Treatment seeking for problematic pornography use among women. Journal of Behavioral Addictions. 6 (4), 445-456. doi: 10.1556/2006.6.2017.063

Lin, YP., Jung, T.P. (2017). Improving EEG=Based Emotion Classification Using Conditional Transter Learning. Front Hum Neurosci. 2017 Jun 27;11:334. doi: 10.3389/fnhum.2017.00334. eCollection 2017.

Manfredi M, Cohn N, Kutas M. When a hit sounds like a kiss: An electrophysiological exploration of semantic processing in visual narrative. Brain and language. 2017 June;169:28-38. PubMed PMID: 28242517; PubMed Central PMCID: PMC5465314.

Miller LE, Longo MR, Saygin AP. Visual illusion of tool use recalibrates tactile perception. Cognition. 2017 May;162:32-40. PubMed PMID: 28196765.

Molina, E., Sanabria, D., Jung, T.-P., Correa, A. (2017). Electroencephalographic and peripheral temperature dynamics during a prolonged psychomotor vigilance task, Accident Analysis & Prevention, pii: S0001-4575(17)30370-6, 2017 Oct 20. doi: 10.1016/j.aap.2017.10.014.

Mostafa H, Pedroni B, Sheik S, Cauwenberghs G. Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State Networks. Front Neurosci. 2017, Jun; 11:496. PMID: 28932180

Nakanishi, M., Wang, Y., Jung, T-P., Zao, J.K., Chien, K-Y, Diniz-Filho, A., Daga, F.B., Lin, Y-P., Medeiros, F.A. (2017). Detecting glaucoma with a portable brain-computer interface for objective assessment of visual function loss. JAMA Ophthalmology.

Perez V.B., Tarasenko M., Miyakoshi M., Pianka S.T., Makeig S., Braff D.L., Swerdlow N.R., Light G.A. (2017). Mismatch Negativity is a Sensitive and Predictive Biomarker of Perceptual Learning During Auditory Cognitive Training in Schizophrenia. Neuropsychopharmacology, 42(11):2206-2213. doi: 10.1038/npp.2017.25. Epub 2017 Jan 31.

Peterson, D. A. Littlewort, G. C. Bartlett, M. S. Macerollo, A., Perlmutter, J. S. Jinnah, H. A. Hallett, M. Sejnowski, T. J. Objective, computerized video-based rating of blepharospasm severity, Neurology, 87(20), 2146-2153, 2016, Nov. PMCID:PMC5109937 [Available on 2017-11-15]

Peterson, D. A. Sejnowski, T. J. A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm, Frontiers in Computational Neuroscience, 11, 11 /, 2017, Mar. PMCID:PMC5340098

Pion-Tonachini, L., Makeig, S., Kreutz-Delgado, K. (2017). Crowd labeling latent dirichlet allocation. Knowledge and Information Systems, 1-17. Springer: London. doi:10.1007/s10115-017-1053-1.

Potenza M., Gola, M., Voon, V., Kor A., Kraus S. (2017). Is excessive sexual behavior also an addictive disorder? The Lancet Psychiatry 4 (9), 663-664. doi: 10.1016/S2215-0366(17)30316-4

Rajagopalan, R., Litvan, I., Jung, T.-P. (2017). Fall prediction and prevention systems: recent trends, challenges, and future research directions. Sensors (Basel). 2017 Nov 1; 17(11). pii: E2509. doi: 10.3390/s17112509.

Smith CN, Squire LR. When eye movements express memory for old and new scenes in the absence of awareness and independent of hippocampus. Learning & memory (Cold Spring Harbor, N.Y.). 2017 February;24(2):95-103. PubMed PMID: 28096499; PubMed Central PMCID: PMC5238721.

Somon B., Campagne A., Delorme A., Berberian B. (2017). Performance Monitoring Applied to System Supervision. Front Hum Neurosci. 2017 Jul 11; 11:360. doi: 10.3389/fnhum.2017.00360. eCollection 2017.

Szczypinski, J. & Gola, M. (2018) Dopamine Dysregulation Hypothesis: The common basis for motivational anhedonia in major depressive disorder and schizophrenia? Reviews in the Neurosciences. doi: 10.1515/revneuro-2017-0091

Töllner, T., Wang, Y., Makeig, S., Müller, HJ, Jung, T-P., Gramann, K. (2017). Two independent frontal midline theta oscillations during conflict detection and adaptation in a simon-type manual reaching task. Journal of Neuroscience 37(9), 2504-2515.

Wang, Y-T, Nakanishi, M., Wang, Y., Cheng, C.K., Jung, T-P. (2017). An online brain-computer interface based on SSVEPs measured from non-hair-bearing areas. IEEE Trans. Neural Syst. Rehab. Eng., 25(1), 14-21. doi: 10.1109/TNSRE.2016.2573819.

Whitehill, J. and Movellan, J. Approximately Optimal Teaching of Approximately Optimal Learners (2017, Apr) IEEE Transactions on Learning Technologies. doi: 10.1109/TLT.2017.2692761

Wu, D., Lance, B.J., Lawhern, V.J., Gordon, S., Jung, T-P., Lin, C-T. (2017). EEG-based user reaction time estimation using riemannian geometry features. IEEE Trans. Neural Syst. Rehab. Eng., 25 (11): 2157-2168. doi: 10.1109/TNSRE.2017.2699784


Moldakarimov, S. Sejnowski, T. J. Neural Computation Theories of Learning Byrne, J. H. (Ed.), In: Learning and Memory: A Comprehensive Reference, 2nd Ed., 579-589, Elsevier, 2017 (PDF)



Akalin-Acar, Z., Acar, C., Makeig, S. (2016). Simultaneous head tissue conductivity and independent EEG source location estimation. NeuroImage, 124,168-180. doi: 10.1016/j.neuroimage.2015.08.032

Benasich, A.A., Choudhury, N., Peters, S. & Ortiz-Mantilla, S. (2016). Early screening and intervention of infants at high risk for developmental language disorders: The role of nonlinguistic Rapid auditory processing. Special Issue: IDA Perspectives on Language and Literacy: Early Identification and Treatment of Dyslexia: A Brain-based Perspective, 42(1), 24-29.

Bigdely-Shamlo N, S Makeig, Robbins KA. (2016). Preparing laboratory and real-world EEG data for large-scale analysis: A containerized approach. Frontiers in Neuroinformatics, 10:7,PMC4782059, 2016. doi:010.3389/fninf.2016.00007

Bigdely-Shamlo, N., Cockfield, J., Makeig, S., Rognon, T., La Valle, C., Miyakoshi, M., Robbins, K.A. (2016). Hierarchical event descriptors (HED): Semi-Structured tagging for real-world events in large-scale EEG. Frontiers in Neuroinformatics, 10(42), 1-13. doi:10.3389/fninf.2016.00042.

Brandmeyer, T., Delorme, A. (2016) Reduced mind wandering in experienced meditators and associated EEG correlates. Exp Brain Res. Nov 4.

Brunner, C., Billinger, M., Seeber, M., Mullen, T.C., Makeig, S. (2016). Volume conduction influences scalp-based connectivity estimates. Frontiers in Computational Neuroscience, 10, 121.

Cantiani, C., Riva, V., Piazza, C., Bettoni, R. Moltini, M., Choudhury, N., Marino, C., & Benasich, A.A. (2016). Auditory discrimination predicts linguistic outcome in Italian infants with and without risk for language-learning impairment. Developmental Cognitive Neuroscience, 20, 23-34. doi: 10.1016/j.dcn.2016.03.002.

Chailangkarn T, Trujillo CF, Freitas B, Hrvoj-Mihic B, Yu DX, Brown TT, Marchetto MCM, Bardy C, McHenry L, Stefanacci L, Jarvinen A, Searcy YM, DeWitt M, Wong W, Lai P, Ard MC, Herai RC, Hanson KL, Jacobs B, Dale AM, Freitas B, Korenberg JR, Halgren E, Bellugi U, Gage FH, Semendeferi K, Muotri AR. A human neurodevelopmental model for Williams syndrome. (2016, Aug) Nature, 536(7616), 338-343. PMID: 27509850.

Congedo, M., Korczowski, L., Delorme, A., Lopes da Silva, F. (2016). Spatio-temporal common pattern: A companion method for ERP analysis in the time domain. Journal of Neuroscience Methods, 267, 74-88. doi: 10.1016/j.jneumeth.2016.04.008.

Cruz, G., Miyakoshi, M., Makeig, S., Kilborn, K., Evans, J. (2016). ERPs and their brain sources in perceptual and conceptual prospective memory tasks: Commonalities and differences between the two tasks. Neuropsychologia, (91), 173-185.

Delorme, A., Pierce, A., Michel, L., & Radin, D. (2016). Prediction of mortality based on facial characteristics. Front. Hum. Neurosci., 10, 173. doi: 10.3389/fnhum.2016.00173.

Durantin, G., Scannella, S., Gateau, T., Delorme, A., & Dehais, F. (2016). Processing functional near infrared spectroscopy signal with a kalman filter to assess working memory during simulated flight. Front Hum Neurosci., 9, 707. doi: 10.3389/fnhum.2015.00707.

Gola, M. (2016). Decreased LPP for sexual images in problematic pornography users may be consistent with addiction models. Everything depends on the model. Biological Psychology, 120, 156-158. doi: 10.1016/j.biopsycho.2016.05.003.

Gola, M. (2016). Mechanizmy, nie symptomy: drogowskaz do pracy z pacjentem z kompulsywnymi zachowaniami seksualnymi. [Mechanisms, not symptoms – a guideline for therapy of compulsive sexual behaviors]. Sexology Review, 2(46), 2-18.

Gola, M. (2016). Problematic pornography consumption - Psychological, behavioral and neurobiological aspects. Annual Report of Polish Academy of Sciences, 22-24.

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Butko, N.J., Theocharous, G., Philipose, M., & Movellan, J.R. (2011). Automated facial affect analysis for one-on-one tutoring applications. Proceedings of the 9th IEEE Conference on Automatic Face and Gesture Recognition, p. 382-387.

Coggan, J.S., Ocker, G.K., Sejnowski, T.J., & Prescott, S.A. (2011). Explaining pathological changes in axonal excitability through dynamical analysis of conductance-based models. J Neural Eng. 2011 Dec;8(6):065002. doi: 10.1088/1741-2560/8/6/065002. Epub 2011 Nov 4.

Dang-Vu, T.T., Bonjean, M., Schabus, M., Boly, M., Darsaud, A., Desseilles, M., Degueldre, C., Balteau, E., Phillips, C., Luxen, A., Sejnowski, T.J., & Maquet, P. (2011). Interplay between spontaneous and induced brain activity during human non-rapid eye movement sleep. Proc Natl Acad Sci U S A. 2011 Sep 13;108(37):15438-43. doi: 10.1073/pnas.1112503108. Epub 2011 Sep 6.

de Barbaro, K., Chiba, A., & Deak, G.O. (2011). Micro-analysis of infant looking in a naturalistic social setting: Insights from biologically based models of attention. Developmental Science, 14, 1150-1160.

Delorme, A., Mullen, T., Kothe, C., Akalin Acar, Z., Bigdely-Shamlo, N., Vankov, A., & Makeig, S.. (2011). EEGLAB, SIFT, NFT, BCILAB, and ERICA: New tools for advanced EEG processing, Comput Intell Neurosci. 2011:130714. doi: 10.1155/2011/130714. Epub 2011 May 5.

Dipietro, L., Poizner, H., & Krebs, H.I. (2011). EEG correlates of submovements. Conference Proceedings of the IEEE Engineering in Medicine and Biology Society, 7429-7432.

Driscoll, J.D., Shih, A.Y., Iyengar, S., Field, J.J., White, G.A., Squier, J.A., Cauwenberghs, G., & Kleinfeld, D. (2011). Photon counting, censor corrections, and lifetime imaging for improved detection in two-photon microscopy. J Neurophysiol. 2011 Jun;105(6):3106-13. doi: 10.1152/jn.00649.2010.

Gordon, I., Tanaka, J., Pierce, M., & Bartlett, M. (2011) Facial expression production and training. Journal of Vision, Proceedings, Vision Science Society, Naples, Florida.

Gramann, K., Gwin, J.T., Ferris, D.P., Oie, K., Jung, T.P., Lin, C.T., Liao, L.D., & Makeig, S. (2011). Cognition in action: imaging brain/body dynamics in mobile humans. Rev Neurosci. 2011;22(6):593-608. doi: 10.1515/RNS.2011.047. Epub 2011 Nov 10.

Gwin, J.T., Gramann, K., Makeig, S., & Ferris, D.P. (2011). Electrocortical activity is coupled to gait cycle phase during treadmill walking. Neuroimage. 2011 Jan 15;54(2):1289-96. doi: 10.1016/j.neuroimage.2010.08.066. Epub 2010 Sep 9.

Indiveri, G., Linares-Barranco, B., Hamilton, T.J., van Schaik, A., Etienne-Cummings, R., Delbruck, T., Liu, S.C., Dudek, P., Hilfiger, P., Renaud, S., Schemmel, J., Cauwenberghs, G., Arthur, J., Hynna, K., Folowosele, F., Saighi, S., Serrano-Gotarredona, T., Wijekoon, J., Wang, Y., & Boahen, K. (2011). Neuromorphic silicon neuron circuits. Front Neurosci. 2011;5:73. doi: 10.3389/fnins.2011.00073.

Kang, S.H.K., Pashler, H., Cepeda, N.J., Rohrer, D., Carpenter, S.K., & Mozer, M.C. (2011). Does incorrect guessing impair fact learning? Journal of Educational Psychology, 103, 48–59.

Kang, S.H.K, McDaniel, M.A., & Pashler, H. (2011). Effects of testing on learning of functions Psychonomic Bulletin and Review, 18, 998-1005.

Kothe, C.A. & Makeig, S. (2011). Estimation of task workload from EEG data: New and current tools and perspectives. Conf Proc IEEE Eng Med Biol Soc. 2011:6547-51. doi: 10.1109/IEMBS.2011.6091615.

Khraiche, M.L., Lo, Y., Wang, D., Cauwenberghs, G., Freeman, W., & Silva, G.A.. (2011). Ultra-high photosensitivity silicon nanophotonics for retinal prosthesis: electrical characteristics. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:2933-6. doi: 10.1109/IEMBS.2011.6090807.

Levy-Tzedek, S., Krebs, H.I., Arle, J.E., Shils, J.L., & Poizner, H. (2011). Rhythmic movement in Parkinson's disease: Effects of visual feedback and medication state. Exp Brain Res. 2011 Jun;211(2):277-86. doi: 10.1007/s00221-011-2685-0. Epub 2011 Apr 28.

Liao, Y., Gramman, K., Feng, W., Deak, G.O., & Li, H. (2011). This ought to be good: Brain activity accompanying positive and negative expectations and outcomes. Psychophysiology v.48, i. 10, October 2011, p. 1412–1419. 21 APR 2011, DOI: 10.1111/j.1469-8986.2011.01205.x.

Liao, Y., Li, H., & Deak, G.O. (2011). Can unpredicted outcomes be intended? The role of outcome-beliefs in children's judgments of intention. Cognitive Development, 26, 106-117.

Littlewort, G.C., Salamanca, L.P., Reilly, J.S., & Bartlett, M.S. (2011). Automated measurement of children’s facial expressions during problem solving tasks. Proceedings, IEEE International Conference on Automatic Face and Gesture Recognition, p. 30-35.

Littlewort, G., Whitehill, J., Wu, T., Fasel, I., Frank, M., Movellan, J., & Bartlett, M. (2011). The computer expression recognition toolbox (CERT). Proceedings, IEEE International Conference on Automatic Face and Gesture Recognition, p. 298-305.

Littlewort, G., Whitehill, J., Wu, T., Butko, N.J., Ruvolo, P., Movellan, J.R., & Bartlett, M.S. (2011). The motion in emotion – a CERT based approach to the FERA emotion challenge. Proceedings of the 9th IEEE Conference on Automatic Face and Gesture Recognition, Workshop on Facial Expression Recognition and Analysis Challenge.

Mueller, E.M., Makeig, S., Stemmler, G., Hennig, J., & Wacker, J. (2011). Dopamine effects on human error processing depend on catechol-O-methyltransferase VAL158MET genotype. J Neurosci. 2011 Nov 2;31(44):15818-25. doi: 10.1523/JNEUROSCI.2103-11.2011.

Mullen, T., Acar ZA, Worrell, G., & Makeig, S. (2011). Modeling cortical source dynamics and interactions during seizure. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:1411-4. doi: 10.1109/IEMBS.2011.6090332.

Murari, K., Etienne-Cummings, R., Thakor, N., & Cauwenberghs, G. (2011). A CMOS in-pixel CTIA high sensitivity fluorescence imager. IEEE Trans Biomed Circuits Syst. 2011 Oct;5(5):449-458.

Park, J., Xu, L., Sridhar, V., Chi, M., & Cauwenberghs, G. (2011). Wireless dry EEG for drowsiness detection. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:3298-301. doi: 10.1109/IEMBS.2011.6090895.

Peterson, D.A., Lotz, D.T., Halgren, E., Sejnowski, T.J., & Poizner, H. (2011). Choice modulates the neural dynamics of prediction error processing during rewarded learning, NeuroImage, 54: 1385-1394.
Poizner, H. (2011). Differential effects of deep brain stimulation (DBS) on speech and limb movements in Parkinson's Disease (PD): Clues to basic mechanisms. J Acoust Soc Am. 2011 Oct;130(4):2410. PubMed PMID: 21973837.

Rowat, P. & Greenwood, P. (2011). Identification and continuity of the distributions of burst-length and inter-spike-intervals in the stochastic Morris-Lecar neuron. Neural Computation 23, 3094-3124.

Snider, J., Plank, M., Lee, D., & Poizner, H. (2011). Simultaneous neural and movement recording in large-scale immersive virtual environments, Proceedings of the IEEE Biomedical Circuits & Systems Conference.

Snider, J., Plank, M., May, L., Liu, T., & Poizner, H. (2011). Adaptation of a haptic robot in a 3T fMRI, Journal of Visual Experiments, J. Vis. Exp. (56), e3364, DOI: 10.3791/3364.

Swann, N., Poizner, H., Houser, M., Gould, S., Greenhouse, I., Cai, W., Strunk, J., George, J., & Aron, A.R. (2011). Deep brain stimulation of the subthalamic nucleus alters the cortical profile of response inhibition in the beta frequency band: a scalp EEG study in Parkinson's disease. J Neurosci. 2011 Apr 13;31(15):5721-9. doi:10.1523/JNEUROSCI.6135-10.

Talbott, W., Fasel, I., Molina, J., de Sa, V., & Movellan, J.R. (2011). Coordinating touch and vision to learn what objects look like. Proceedings of the 2011 Conference of the Cognitive Science Society.

Torres, E.B., Heilman, K.M., & Poizner, H. (2011). Impaired endogenously evoked automated reaching in Parkinson's disease. J Neurosci. 2011 Dec 7;31(49):17848-63. doi: 10.1523/JNeurosci,1150-11.

Toups, J.V., Fellous, J.M., Thomas, P.J., Sejnowski, T.J., & Tiesinga, P.H. (2011). Finding the event structure of neuronal spike trains. Neural Comput. 2011 Sep;23(9):2169-208. doi: 10.1162/NECO_a_00173. Epub 2011 Jun 14.

Volman, V., Sejnowski, T.J., & Bazhenov, M.. (2011). Topological basis of epileptogenesis in a model of severe cortical trauma. J Neurophysiol. 2011 Oct;106(4):1933-42. doi: 10.1152/jn.00458.2011. Epub 2011 Jul 20.

Volman, V., Behrens, M.M., & Sejnowski, T.J. (2011). Downregulation of parvalbumin at cortical GABA synapses reduces network gamma oscillatory activity. J Neurosci. 2011 Dec 7;31(49):18137-48. doi: 10.1523/JNEUROSCI.3041-11.

Volman V, Bazhenov M, Sejnowski TJ. (2011). Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation. Proc Natl Acad Sci U S A. 2011 Sep 13;108(37):15402-7. doi: 10.1073/pnas.1112066108. Epub 2011 Sep 6.

Wei, H., Bonjean, M., Petry, H.M., Sejnowski, T.J. , & Bickford, M.E. (2011). Thalamic burst firing propensity: A comparison of the dorsal lateral geniculate and pulvinar nuclei in the tree shrew. J Neurosci. 2011 Nov 23;31(47):17287-99. doi: 10.1523/JNEUROSCI.6431-10.

Whitehill, J., Serpell, Z., Foster, A., Lin, Y.C., Pearson, B., Bartlett, M., et al. (2011). Toward an optimal affect-sensitive instructional system of cognitive skills. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Human Communicative Behavior, (pp. 20 - 25).

Yu, T., Sejnowski, T.J., & Cauwenberghs, G. (2011). Biophysical neural spiking, bursting, and excitability dynamics in reconfigurable analog VLSI. IEEE Trans Biomed Circuits Syst. 2011 Oct;5(5):420-429.

Books/Book Chapters

Deak, G.O., Triesch, J., Krasno, A., de Barbaro, K., & Robledo, M. (2011). Learning to share: The emergence of joint attention in human infancy. In B. Kar (Ed.), Cognition and Brain Development section III, article 9, American Psychological Association.

Krishnamurthy, D. & Todorov, E. (2011). A unifying framework for linearly-solvable control. In Uncertainty in Artificial Intelligence.

Mozer, M.C., Link, B.V., & Pashler, H. (2011). An unsupervised decontamination procedure for improving the reliability of human judgments. In Shawe-Taylor, J., Zemel, R. S., Bartlett, P., Pereira, & Weinberger, K. Q. (Eds.), Advances in Neural Information Processing Systems 24 (pp. 1791-1799). La Jolla, CA: NIPS Foundation.


Peer Reviewed

Behrens, M.M. & Sejnowski, T.J. Does Schizophrenia Arise from Oxidative Dysregulation of Parvalbumin-Interneurons in the Developing Cortex?, Neuropharmacology, (in press).

Bigdely Shamlo , N., Ramirez, R., Vankov, A., & Makeig, S. (revision submitted). Real-time brain activity-based identification of targets during rapid serial visual presentation. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Bjerre, V., Onton, J., Makeig, S., & Christofferson, G. (in revision). Effects of human working memory load on frontal and posterior midline theta activities in EEG-recordings: changes during normal aging. NeuroImage.

Conner, J.M., Franks, K.M., Titterness, A.K., Merrill, D.A., Christie, B.R., Sejnowski, T.J., & Tuszynski, M.H. NGF is Essential for Hippocampal Plasticity and Learning, J. Neuroscience, (in press).

Destexhe, A., Sejnowski, T. J., The Wilson-Cowan Model, 36 Years Later, Biological Cybernetics, (in press).

Gramann, K., el Sharkawy, J., Deubel, H. (in press) Eye-movements during navigation in a virtual tunnel. International Journal of Neuroscience.

Greenwood, P. & Rowat, P. (in progress) Distribution of spike sequence length and inter-spike-intervals of the Morris-Lecar neuron.

Hao, J., Lee, T.W., & Sejnowski, T.J. Speech Enhancement using Gaussian Scale Mixture Models, IEEE Transactions on Audio, Speech and Language Processing, (in press).

Kanan, C., Tong, M.H., Zhang, L., & Cottrell, G.W. (accepted). SUN: Top-down saliency using natural statistics. Visual Cognition: Special issue on eye guidance in natural scenes.

Ko, L.W., Lin, C.T., Pal, N.R., Chuang, C.Y., Jung, T.P., Chao, C.F., Liang, S.F. (in press). EEG-based Subject- and Session-independent Drowsiness Detection: An Unsupervised Approach. EURASIP Journal on Applied Signal Processing.

Kuperman, J.M., Brown, T.T., Roddey, J.C., White, N.S., Shankaranarayanan, A., Han, E.T., Rettmann, D., & Dale, A.M. PROspective MOtion Correction (PROMO) Results in Improved Image and Segmentation Quality of High-Resolution MRI Scans of Young Children. International Society for Magnetic Resonance in Medicine. (in press).

Lainscsek, C., Rowat, P., Schettino, L., Song, D.D., & Poizner, H. (in progress) Nonlinear temporal dynamics of repetitive hand movements in Parkinson's disease.

Leonard, M.K., Brown, T.T., Travis, K., Gharapetian, L., Elman, J.L., and Halgren, E. Spatiotemporal dynamics of lexico-semantic representations in the bilingual brain. (submitted).

Leonard, M.K., Brown, T.T., Travis, K., Gharapetian, L., Elman, J.L., and Halgren, E. Early routing of second language processing to the right hemisphere. (submitted).

Levy-Tzedek, S., Krebs, H.I., Song, D.D., Hogan, N., & Poizner, H. Non-monotonicity on a spatio-temporally defined cyclic task: evidence of two movement types?, (under revision) for Experimental Brain Research.

Lew, S., Wolters, C.H., Anwander, A., Makeig, S., & MacLeod, R. (submitted). Improved EEG source localization using low resolution conductivity estimation in a realistic head model. Human Brain Mapping.

D.N. Loizos, P.P. Sotiriadis and G. Cauwenberghs, "A SiGe BiCMOS 8-Channel Multi-Dithering, Sub-Microsecond Adaptive Controller", IEEE Trans. Circuits and Systems I: Regular Papers, vol. 57 (1), pp. 53-63, 2010.

Lukos, J.R., Lee, D., Poizner, H., & Santello, M. Impaired use of sensorimotor memories for the coordination of digit position and forces during grasp control in Parkinson's disease, submitted to Neuroscience.

Marks, T.H. & Movellan, J.R. (in press). Joint 3D tracking of rigid motion, deformations, and texture using a conditionally gaussian model. Pattern Analysis and Machine Intelligence.

Meltzoff, A., Movellan, J.R. & Sejnowski, T.J. (under review). Towards a new science of learning, Science.

Moldakarimov, S.B., Bazhenov, M., & Sejnowski, T.J. Representation Sharpening Can Explain Perceptual Priming, Neural Computation, (in press). Peterson, D.A., Elliott, C., Song, D.D., Makeig, S., Sejnowski, T.J., & Poizner, H. Probabilistic reversal learning is impaired in Parkinson's disease, Neuroscience, (in press).

Peterson, D.A.,, Elliott, C., Song, D.D., Makeig, S., Sejnowski, T.J., & Poizner, H. Probabilistic reversal learning is impaired in Parkinson's disease, Neuroscience, in press.

Pitts, M., Martinez, A., Brewer, J., and Hillyard, S. sEarly stages of figure-ground perception: ERPs and the face-vase illusion. (submitted).

Pitts, M., Martinez, A., Brewer, J., and Hillyard, S. Delayed V1 activity correlates with perceptual awareness during binocular rivalry: Evidence from ERPs. (in preparation). Schettino, L., Van Erp, E., Hening, W., Lessig, S., Song, D., Barba, D., & Poizner, H. (in press). Deep brain stimulation of the subthalamic nucleus facilitates coordination of hand preshaping in Parkinson's Disease, International Journal of Neuroscience. Sejnowski, T. J.; Is it true that when we drive, walk or reach for something our brains perform calculations?, Scientific American, (in press).

Stiefel, K.M., Fellous, J.-M., Thomas, P.J., & Sejnowski, T.J. Intrinsic Sub-threshold Oscillations Extend the Influence of Inhibitory Synaptic Inputs on Cortical Pyramidal Neurons, European Journal of Neuroscience (in press).

Toellner, T., Gramann, K., Mueller, H.J., Eimer, M. (in press). The anterior N1 component as an index of modality shifting. Journal of Cognitive Neuroscience. Torres, E., Raymer, A., Rothi, L., Heilman, K.M., & Poizner, H. (under revision). An extra-personal representation of time in the human left Parietal lobe, Journal of Cognitive Neuroscience.

Vural, E., Harris C., Winkielman, P., & Pashler, H. (in press). Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition. Perspectives on Psychological Science.

Worrell, G.S., Lee, K., Stead, S.M., So, E., Marsh, R., Meyer, F.C., & Makeig, S. (under revision). Infection risk in multiscale EEG: Simultaneous scalp and intracranial electroencephalography. Epilepsia.

T. Yu and G. Cauwenberghs,"Analog VLSI Biophysical Neurons and Synapses with Programmable Membrane Channel Kinetics", IEEE Trans. Biomedical Circuits and Systems, vol. 4 (3), pp. 139-148, 2010.

Books/Book Chapters

Bartlett, M. & Whitehill, J. (in press). Automated facial expression measurement: Recent applications to basic research in human behavior, learning, and education. In Calder, A., Rhodes, G., Haxby, J., and Johnso. M. (Eds). Handbook of Face Processing, Oxford University Press.

Bartlett, M., Littlewort, G., Whitehill, J., Vural, E., Wu, T., Lee, K., Ercil, A., Cetin, M., & Movellan, J. (in press). Insights on spontaneous facial expressions from automatic expression measurement. In Giese, M., Curio, C., & Bulthoff, H. (Eds.) Dynamic Faces: Insights from Experiments and Computation. MIT Press.

Fellous, J.M., Sejnowski, T.J., & Navratilova, Z. Intrinsic and network contributions to reverberatory activity: Reactive clamp and modeling studies. Destexhe, A. & Ball, T. (Eds.) In: The Dynamic-Clamp: From Principles to Applications, (in press).

Frost, W.N., Wang, J., Brandon, C.J., Moore-Kochlacs, C. Sejnowski, T.J., & Hill, E.S. Monitoring the spiking activity of many individual neurons using fast-responding voltage-sensitive dyes Zecevic, D., Canepari, M. (Eds.) In: The Voltage Imaging Book, Springer rlag: Berlin (in press).

Jung TP, Makeig S. Techniques of EEG recording and preprocessing: Independent components analysis of electroencephalographic data. In: Quantitative EEG Analysis Methods and the Applications. (S Tong and N Thakor ed.), in press. Makeig, S., Jung, T.-P., Ghahremani, D., & Sejnowski, T.J.; Independent Component Analysis of Simulated ERP Data Nakada, T. (Ed.) In: Human Higher Function I: Advanced Methodologies, (in press).



Ahmadi, M.E., Brown, T.T., Kuperman, J.M., Roddey, J.C., White, N.S., Shankaranarayanan, A., Han, E., Rettmann, D., & Dale, A.M. (2009) 3D Prospective Motion Correction System (PROMO) in Pediatric Population. International Society for Magnetic Resonance in Medicine. (in press).

Becker, C., Gramann, K., Mueller, H.J., Elliott, M.A. (2009) Electrophysiological correlates of flicker-induced color hallucinations. Consciousness Cognition.

Chan, J., Leung, H., & Poizner, H., Correlation among Joint Motions Allows Classification of Parkinsonian versus Normal 3D Reaching Movements, IEEE Transactions on Neural Systems and Rehabilitation Engineering, June 2, 2009 [E-pub ahead of print].

Y.M. Chi, R. Etienne-Cummings and G. Cauwenberghs, "Focal-Plane Change Triggered Video Compression for Low-Power Vision Sensor Systems", PLoS ONE, vol. 4 (7), e6384, 2009.

Curtis, J.C. & Kleinfeld, D. (2009). Phase-to-rate transformations encode touch in cortical neurons of a scanning sensorimotor system. Nature Neuroscience (in press).

P.J. Drew, P. Blinder, G. Cauwenberghs, A.Y. Shih and D. Kleinfeld ,"Rapid Determination of Particle Velocity from Space-Time Images Using the Radon Transform", J. Computational Neuroscience, 10.1007/s10827-009-0159-1, 2009.

Grosse-Wentrup, M., Liefhold, C., Gramann, K., Buss, M. (2009). Beamforming in non-invasive Brain-Computer Interfaces. IEEE Transactions on Biomedical Engineering.

Hao, J., Attias, H., Nagarajan, S., Lee, T., & Sejnowski, T.J. Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation, IEEE Transactions on Audio, speech and Language Processing 17 (1): 24-37 (2009).

Lainscsek, C., Schettino, L., Rowat, P., van Erp, E., Song, D., & Poizner, H. "Nonlinear DDE analysis of repetitive hand movements in Parkinson's disease," in: Applications of Nonlinear Dynamics Model and Design of Complex Systems Series: Understanding Complex Systems, Visarath; Longhini, Patrick; Palacios, Antonio (Eds.), Springer-Berlin, Heidelberg, 2009, pp.421-426.

Littlewort, G., Bartlett, M. & Lee, K. (in press). Automatic coding of Facial Expressions displayed during Posed and Genuine Pain. Image and Vision Computing, 2009.

Makeig, S., Gramann, K., Jung, T-P., Sejnowski, T.J., & Poizner, H. Linking brain, mind and behavior, International Journal of Psychophysiology, 2009, 73, 95-100.

Meltzoff, A.N., Kuhl, P.K., Movellan, J., & Sejnowski, T.J. Foundations for a New Science of Learning, Science 325: 284-288.(2009)

Milne, E., Scope, A., Pascalis, O., Buckley, D., Makeig, S. (2009) Independent component analysis reveals atypical EEG activity during visual perception in individuals with autism. Biological Psychiatry.

M.Mollazadeh, K.Murari, G.Cauwenberghs, and N.Thakor, "Micropower CMOS Integrated Low-Noise Amplification, Filtering, and Digitization of Multimodal Neuropotentials", IEEE Transactions on Biomedical Circuits and Systems, vol. 3 (1), pp. 1-10, 2009.

M. Mollazadeh, K. Murari, G. Cauwenberghs, and N. Thakor, "Wireless Micropower Instrumentation for Multimodal Acquisition of Electrical and Chemical Neural Activity", IEEE Trans. Biomedical Circuits and Systems, vol. 3 (6), pp. 388-397, 2009.

K. Murari, R. Etienne-Cummings, N. Thakor, and G. Cauwenberghs, "Which Photodiode to Use: a Comparison of CMOS-Compatible Structures", IEEE Sensors Journal, vol. 9 (7), pp. 752-760, 2009.

Pitts, M., Martinez, A., Stalmaster, C., Nerger, J., and Hillyard, S. (2009). Neural generators of ERPs linked with Necker cube reversals. Psychophysiology. 46,694-702.

Schwartz, O., Sejnowski, T.J., & Dayan, P. Perceptual organization in the tilt illusion, Journal of Vision 9(4):19, 1-20 (2009).

Stiefel, K.M., Gutkin, B.S., & Sejnowski, T.J. The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons, Journal of Computational Neuroscience 26: 289?301 (2009).

Books/Book Chapters

Destexhe, A. & Sejnowski, T.J. Sleep and sleep states: Thalamic regulation. in: Encyclopedia of Neuroscience, 4th Edition, L. R. Squire, Ed., Springer Verlag, Berlin, 973-976 (2009).

Fellous, J.-M., Sejnowski, T.J. & Navratilova, Z. Intrinsic and Network Contributions to Reverberatory Activity: Reactive Clamp and Modeling Studies, In: Destexhe, A (Ed.) Dynamic-clamp: from principles to applications, Springer-Verlag: Berlin (2009)

Hening, W., Harrington, D., & Poizner, H. (2009). Motor functions of the basal ganglia. Binder, Marc D., Hirokawa, N., & Windhorst, U. (Eds.) In: Encyclopedia of Neuroscience, Springer Verlag, ISBN: 978-3-540-35857-2.

Lainscsek, C., Schettino, L., Rowat, P., van Erp, E., Song, D., & Poizner, H. (2009). Nonlinear DDE analysis of repetitive hand movements in Parkinson's disease, In: Visarath; Longhini, Patrick; Palacios, Antonio (Eds.),Applications of Nonlinear Dynamics Model and Design of Complex Systems Series: Understanding Complex Systems (pp.421-426), Springer-Berlin, Heidelberg.

Makeig S. & Onton J. ERP features and EEG dynamics: An ICA perspective (5.5 MB pdf) Oxford Handbook of Event-Related Potential Components, Ed. Luck S & Kappenman E, 2009 in press

Moldakarimov, S. & Sejnowski, T.J. Neural Computation Theories of Learning. In: Concise Learning and Memory: The Editor's Selection, edited by J. Byrne, Elsevier, Oxford, 317-330 (2009).

Sejnowski, T.J. Computational Methods. In: Encyclopedia of Neuroscience, 4th Edition, L. R. Squire, Ed., Springer-Verlag: Berlin, 19-22 (2009).

Tiesinga, P. H. E. & Sejnowski, T.J. Attention: Models. In: Encyclopedia of Neuroscience, 4th Edition, L. R. Squire, Ed., Springer-Verlag: Berlin, 633-637 (2009).


Peer Reviewed

Akalin Acar, Z., Makeig, S. (2008, August). Neuroelectromagnetic forward modeling toolbox. Proceedings of IEEE EMBC, Vancouver, Canada.

Ataseven,Y., Akalin Acar, Z., Acar, C.E., Gencer, N.G. (2008). Parallel implementation of the accelerated BEM approach for EMSI of the human brain. Med. & Biol. Eng. & Comp.

Bartlett, M. Littlewort, G. Vural, E., Lee, K., Cetin, M., Ercil, A., & Movellan, M. (2008). Data mining spontaneous facial behavior with automatic expression coding. Lecture Notes in Computer Science 5042, p. 1-21.

Bigdely-Shamlo, N., Vankov, A., Ramirez, R.R., Makeig, S. (2008) Brain activity-based image classification from rapid serial visual presentation. IEEE Trans Neural Syst Rehabil Eng.

Butko, N.J., Zhang, L. Cottrell, G.W., & Movellan, J.R. (2008) Visual saliency model for robot cameras. In International Conference on Robotics and Automation (ICRA) 2008.

Butko, N. & Movellan, J.R. (2008). I-POMDP: An Infomax Model of Eye Movement, Proceedings of the 2008 IEEE International Conference on Development and Learning (ICDL), August 9-12.

Chen, E., Stiefel, K.M., Sejnowski, T.J., & Bullock, T.H. Model of traveling waves in a coral nerve network, Journal of Comparative Physiology A, 194(2):195-200 (2008).

Cockburn, J., Bartlett, M., Tanaka, J. Movellan, J., & Schultz, R. (2008). SmileMaze: A tutoring system in real-time facial expression perception and production in children with Autism Spectrum Disorder, Proceedings from the IEEE International Conference on Automatic Face & Gesture Recognition (peer-reviewed conference proceeding), 978-986.

Delorme A., Sejnowski T.J., & Makeig S. (2008). Improved rejection of artifacts from EEG data using high-order statistics and independent component analysis. NeuroImage.

Englitz, B., Stiefel, K.M., & Sejnowski, T.J., Irregular firing of isolated cortical interneurons in vitro driven by intrinsic stochastic mechanisms, Neural Computation, 20(1): 44-64 (2008).

Finelli, L.A., Haney, S., Bazhenov, M., Stopfer, M., & Sejnowski, T.J., Synaptic learning rules and sparse coding in a model sensory system, PLoS Comput Biol, 4 (4): e1000062. doi:10.1371/journal.pcbi.1000062, (2008).

Fishman, I., Goldman, M., & Donchin, E. (2008). P300 as a neurophysiological probe of alcohol expectancy processes. Experimental and Clinical Psychopharmacology, 16 (4), 341-356. PMID: 18729689

Frohlich, F., Bazhenov, M., & Sejnowski, T.J., Pathological effect of homeostatic synaptic scaling on network dynamics in diseases of the cortex. Journal of Neuroscience, 28(7): 1709-1920, (2008).

Frohlich, F., Bazhenov, M., Iragui-Madoz, V., & Sejnowski, T.J. Potassium dynamics in the epileptic cortex: New insights on an old topic. The Neuroscientist 14 (5):422?433, (2008).

Groppe, D., Makeig, S., & Kutas, M. (2009). Identifying Reliable Independent Components via Split-Half Comparisons (0.8MB pdf) NeuroImage,

Hammon, P.S., Makeig, S., Poizner, H., Todorov, E., & de Sa, V. (2008). Extracting trajectories and target endpoints from human EEG during a reaching task, IEEE Signal Processing, 25, 69-77.

Huang, R.-S., Jung, T.-P., Delorme, A., & Makeig, S. (2008). Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking. Neuroimage.

Huang, R.-S., Jung, T.-P., Delorme, A., & Makeig, S. (2008). The engaging and disengaging brain: Event-related electroencephalographic dynamics in a continuous compensatory tracking task. NeuroImage.

Ho, T.J., Duann, J.R., Chen, C.M., Chen, J.H., Shen, W.C., Lu, T.W., et al. (2008). Carryover effects alter FMRI statistical analysis in an acupuncture study. The American Journal of Chinese Medicine.

Keller, D.X., Franks, K.M., Bartol, T.M., & Sejnowski, T.J. Calmodulin activation by calcium transients in the postsynaptic density of dendritic spines, PLoS ONE 3(4): e2045. doi:10.1371/. PMCID: PMC2312328, (2008).

Kerr, R.A., Bartol, T.M., Kaminsky, B., Dittrich, M., Chang, J.-C. J., Baden, S., Sejnowski, T.J., & Stiles, J.R. Fast Monte Carlo simulation methods for biological reaction-diffusion systems in solution and on surfaces, SIAM Journal on Scientific Computing, 30(6) 3126-3149 (2008).

Krebs, H., Dipietro, L., Levy-Tzedek, S., Fasoli, S., Rykman, A., Zipse, J., Fawcett, J., Stein, J., Poizner, H., Lo, A., Volpe, B., & Hogan, N. (2008). A Paradigm-Shift: Therapeutic NeuRobotics, IEEE Engineering in Medicine and Biology, 27(4): 61-70.

Lew, S., Wolters, C.H., Anwer, A., Makeig, S., Macleod, R.S. (2008). Improved EEG source analysis using low-resolution conductivity estimation in a four-compartment finite element head model. Human Brain Mapping.

Lin, C.T., Li-Wei, K., Chiou, J.C., Duann, J.R., Huang, R.S., Liang, S.F., et al. (2008). Noninvasive Neural Prostheses Using Mobile Wireless EEG. Proceedings of the IEEE.

D.N.Loizos, P.P.Sotiriadis, and G. Cauwenberghs, "A Translinear SiGe BiCMOS Current-Controlled Oscillator with 80 Hz-800MHz Tuning Range", Analog Integrated Circuits and Signal Processing, vol. 57(1-2), pp.107-115, 2008.

Lopreore, C.L., Bartol, T.M., Coggan, J.S., Keller, D.X., Sosinsky, G.E., Ellisman, M.H., & Sejnowski, T.J. Computational modeling of 3D electrodiffusion in biological systems: Application to the node of Ranvier, Biophysical Journal 95(6): 2624-2635, (2008).

Low, P.S., Shank, S.S., Sejnowski, T.J., & Margoliash, D. Mammalian-like features of sleep structure in zebra finches. Proceedings of the National Academy of Sciences U.S.A., 105(26): 9081-9086 (2008).

Morency, L.P., Whitehill, J., & Movellan, J.R. (2008). Generalized Adaptive View-based Appearance Model: Integrated Framework for Monocular Head Pose Estimation. Face and Gesture Recognition.

Palmer, J.A., Makeig, S., Kreutz-Delgado, K., Rao, B.D. (2008, April). Newton method for the ICA mixture model. in the Proceedings of the 33rd IEEE International Conference on Acoustics and Signal Processing (ICASSP 2008), Las Vegas, NV.

Pitts, M., Gavin, W., & Nerger, J. (2008 June). Early top-down influences on bistable perception revealed by event-related potentials. Brain and Cognition, 67(1), 11-24. PMID: 18155339.

Prescott, S.A., De Konick, Y., & Sejnowski, T.J. Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation. PLoS Computational Biology 4(10): e1000198 (2008).

Prescott, S.A., Ratte, S., De Konick, Y., & Sejnowski, T.J. Pyramidal neurons switch from integrators in vitro to resonators under in vivo-like conditions. Journal of. Neurophysiology 100: 3030-3042 (2008).

Prescott, S.A. & Sejnowski, T.J. Spike-rate coding and spike-time coding are affected oppositely by different adaptation mechanisms, Journal of Neuroscience 28 (50):13649 ?13661 (2008).

Sejnowski, T.J., Bazhenov, M., Timofeev, I., & Frohlich, F. Cellular and network mechanisms of electrographic seizures, Drug Discovery Today: Disease Models 5 (1): 45-57 (2008).

Seubert, J., Humphreys, G.W., M?ller, H.J., Gramann, K. (2008). Straight after the turn: The role of the parietal lobes in egocentric space processing. Neurocase.

Stiefel K.M., Gutkin B.S., & Sejnowski T.J. Cholinergic neuromodulation changes phase response curve shape and type in cortical pyramidal neurons. PLoS ONE. 3(12):e3947. Epub (2008).

Tiesinga, P., Fellous, J.M., & Sejnowski, T.J. Regulation of spike timing in visual cortical circuits. Nature Review of Neuroscience, 9: 97-109 (2008).

Toellner,T., Gramann, K., Mu?ller, H.J., Kiss, M., Eimer, M. (2008) Electrophysiological Markers of Visual Dimension Changes Response Changes. Journal of Experimental Psychology.

Zhu, Y., Shayan, A., Zhang, W., Chen, T.L., Jung, T.P., Duann, J.R., Makeig, S., Cheng, C.K. (2008). Analyzing high-density ECG signals using ICA. IEEE Trans Biomed Eng.

Books/Book Chapters

Bazhenov, M., Houweling, A., Timofeev, I., & Sejnowski, T.J. Homeostatic plasticity and post-traumatic epileptogenesis, In: Homeostatic Plasticity and Postraumatic Epileptogenesis, edited by I. Soltesz and K. Staley, Elsevier, 253-271, (2008).

Bigdely-Shamlo, N., Vankov, A., Ramirez, R.R., & Makeig S. Brain activity-based image classification from rapid serial visual presentation. (8.3 MB pdf) IEEE Transactions on Neural Systems and Rehabilitation Engineering, 16(4): 432-441, 2008

Delac, K., Grgic, M., & Bartlett, Eds. (2008). Face Recognition - State of the Art in Cognitive and Computational Processes. I-Tech Education and Publishing, Vienna, EU.

Frhlich, F., Timofeev, I., & Sejnowski, T.J., Bazhenov, M., Extracellular potassium dynamics and epileptogenesis, In: Homeostatic Plasticity and Postraumatic Epileptogenesis, edited by I. Soltesz and K. Staley, Elsevier, 407-427, (2008)

Makeig, S. Introductory remarks, book on music and brain, Stanford, 2008.

Moldakarimov, S. & Sejnowski, T.J. Neural Computation Theories of Learning. In: Learning and Memory: A Comprehensive Reference, edited by J. Byrne, Elsevier, Oxford Vol. 4, 667-680 (2008).

Muller, M., Onton, J., Makeig, S., & Gramann, K. (2008). Human brain dynamics accompanying path integration - the impact of path complexity. In: P. Khader, K. Jost, H. Lachnit, & F. Raesler (eds.), Beitraege zur 50. Tagung experimentell arbeitender Psychologen, Pabst Science Publishers: Berlin.