The Institute for Neural Computation (INC) is an organized research unit of the University of California at San Diego with 44 members representing 14 research disciplines, devoted to the research and development of a new generation of massively parallel computers through a coherent and cohesive plan of research spanning the areas of neuroscience, visual science, cognitive science, artificial intelligence, mathematics, economics and social science, and computer engineering. View the affiliated faculty list here ...
INC MPLAB highlight:
The INC supports training programs for graduate students and postdoctoral fellows in Cognitive Neuroscience (NIMH). The Center converges neurobiological, cognitive science, computational and engineering resources for understanding the relationship between the mind and the brain. The Center develops new models of brain dynamics, new signal processing techniques based on these models, and the experimental methods to test them. One goal is to study brain activity that supports social interactions.
The Computational Neuroscience specialization is a new facet of the broader Neuroscience graduate program at UCSD . The goal of the specialization is to train the next generation of neuroscientists with the broad range of computational and analytical skills that are essential to understand the organization and function of complex neural systems.
(02/26/2015) Institute for Neural Computation Chalk Talk Series
Zeynep Akalin Acar:
High-Resolution EEG Source Imaging
(01/26/2015) Joint INC-IEM Neuroengineering Seminar Series
Khaled Nabil Salama:
On-Chip RF Power Harvesting for Biomedical Implantable Wireless Sensors
(12/04/2014) Institute for Neural Computation Chalk Talk Series
Nanoscale engineering mediating neural function and activity
(09/01/2014) Postdoc position in Systems Neuroscience
Postdoctoral position in systems neuroscience, for experiments leading to the neuromorphic engineering of cognitive abilities.
(10/30/2014) Institute for Neural Computation Chalk Talk Series
Characterizing Neural Ensembles from High-Resolution Physiological Recordings
(10/22/2014) Dart NeuroScience-TDLC Seminar Series
From Parts to Whole in Space and Time
(10/16/2014) Institute for Neural Computation Chalk Talk Series
H.-S. Philip Wong:
Nanoscale Electronic Synapses For Brain-Inspired Computing
(06/21/2014) NEURON 2014 Summer Course
NEURON Fundamentals & Parallel Simulation with NEURON