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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
Information processing and computation in cortical neurons
Synaptic learning and plasticity rules in dendritic trees
Design principles for synaptic inhibition in dendrites (New)
Functional modules in neuronal sensory processing (New Max Planck Center at Hebrew University, with T. Bonhoeffer, A. Borst, B. Sakmann (MPI) and A. Mizrahi, H. Sompolinsky, ELSC)
Processing of visual and somatosensory information in realistic cortical networks (with K. Martin and B. Sakmann)
Computer simulations of cortical circuits (with H. Markram)
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).
Idan Segev Co--edited A book by EPFL press:
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