NIMH Training Program in Cognitive Neurosciences
At the Institute for Neural Computation we celebrate our diverse community. Cultural diversity enriches our research programs. We welcome qualified applicants from all backgrounds to apply to this training program.
Goal of the program
The goal of this training program is to provide advanced graduate students and postdoctoral fellows with interdisciplinary training in cognitive neuroscience and to create a new generation of scientists devoted to the study of normal and abnormal brain function. Training will emphasize advanced methods for analyzing the neural bases of cognitive processes including perception, selection attention, learning, memory, and cognitive control, which are essential for adaptive everyday functioning. The program also includes training in translational research on impaired cognitive functions that will lead to improvements in diagnosing and treating mental disorders. This program is funded by the National Institute of Mental Health.
Research Areas: Six major research topics constitute the core areas of expertise in our training program:
- Sensory Processing and Perception
- Selective Attention
- Learning and Memory
- Cognitive Control
- Translational Research
- Research Methodologies
Program Directors and 2020-21 Fellows:
Professor of Neurobiology / INC Co-Director / Salk Institute
Department: Cognitive Science
- Understanding cortical physiology at multiple scales through recording directly from rodent and human cortex
- The physiology and mechanisms of cognition, specifically in learning and memory systems, as well as the neurophysiology underlying pathological conditions like epilepsy
- Neural bases of emotional and valenced experiences, including empathy, fear, and pain
- Executive function and its disruption in neuropsychiatric disorder
- Integration of brain regions through neural oscillations in executive function, emotion, and memory
- Research brain rhythms that contribute to memory consolidation during sleep using recordings from epileptic patients
- Develop signal processing techniques for studying complex time series
- Anthropogeny specialization, studying sequence learning, context, and neural representations of perceptual space
- Decoding working memory representations from activity in visual cortex
- Modeling the effects of expectations on sensory coding and (Bayesian) perceptual inference
- Mapping large-scale brain networks associated with action and inhibition
- Understanding of electrophysiological correlates of rodent default-mode network activity revealed by brain-wide local field potential recordings
- Brain-inspired ('neuromorphic') computing models which can utilize sleep-like phases to overcome issues such as catastrophic forgetting.
- Representing and visualizing data in high-dimensional spaces
Participating faculty and department
For questions, please contact us.
The application deadline has passed.