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!
Information processing and computation in cortical neurons
Synaptic learning and plasticity rules in nonlinear dendritic trees
Design principles for synaptic inhibition in dendrites
Information processing and computation in the fly visual system (New Max Planck Center at Hebrew University, with T. Bonhoeffer, A. Borst, B. Sakmann (MPI) and A. Mizrahi, H. Sompolinsky, ELSC)
Graph analysis (structure) and computer simulations of in silico 3D reconstructed cortical circuits (with H. Markram)
Modelling Human cortical neurons and networks (with Huib Mansvelder and Chris de Kock and Javier de Felipe)
Emergence of synchrony in electrically-connected neural circuits (with Y. Yarom)
Our Research is supported by generous grants from the
GIF, and the
Gatsby Charitable Foundation.
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).
Augmenting Cognition Augmenting Cognition (Editors Idan Segev and Henry Markram). EPFL press
Brain And Art (Editors Idan Segev, Luis M. Martinez and Robert J. Zatorre) - Frontiers Research Topic