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Neurons - these aesthetic elementary microchips of the brain - change as
they receive and transmit information. This enables us to learn and adapt
to the complicated environment around us, have new ideas and create new
worlds. A deep understanding of a computing and learning system such as
our brain requires understanding the computational and plastic functions
of its basic components - the nerve cells, and the specific networks they
form. This is indeed our challenge!
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LAB PROJECTS
Neurons as computing devices
Synaptic learning and plasticity in dendritic trees
Noise, stochasticity and information processing in cortical neurons (with C. Koch and Y. Yarom)
Dynamics of small neuronal networks
Processing of visual inputs in realistic cortical networks (with K. Martin)
Detailed models of cortical columns (with B. Sakmann)
Our Research is supported by generous grants from the
ONR,
NIMH,
BSF, and the
ISF.
Idan Segev Co-edited two books by MIT press:
Methods in Neuronal Modeling (with C. Koch) and
The Theoretical Foundation of Dendritic Function (with J. Rinzel and G. Shepherd).
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