Segev Publications

2019

David Beniaguev, Idan Segev, Michael London, Single Cortical Neurons as Deep Artificial Neural Networks
bioRxiv preprint first posted online Apr. 18, 2019;
Eyal Gal, Rodrigo Perin, Henry Markram, Michael London, Idan Segev, Neuron Geometry Underlies a Universal Local Architecture in Neuronal Networks
bioRxiv preprint first posted online May. 31, 2019

2018

Ohad Dan, Elizabeth Hopp, Alexander Borst, Idan Segev, Non-uniform weighting of local motion inputs underlies dendritic computation in the fly visual system
SCIENTIFIC REPORTS | (2018) 8:5787 | DOI:10.1038/s41598-018-23998-9
Lefler Y., Amsalem O., Segev I., Yarom Y. , Using subthreshold events to characterize the functional architecture of electrically coupled networks
bioRxiv preprint
Moldwin T., Segev I. , Perceptron learning and classification in a modeled cortical pyramidal cell
bioRxiv preprint first posted online Nov. 9, 2018; doi: http://dx.doi.org/10.1101/464826.
Guy Eyal, Matthijs B. Verhoog, Guilherme Testa-Silva, Yair Deitcher, Ruth Benavides-Piccione, Javier DeFelipe, Christiaan P. J. de Kock, Huibert D. Mansvelder, Idan Sege, Human Cortical Pyramidal Neurons: From Spines to Spikes via Models
doi: 10.3389/fncel.2018.00181

2017

Siwei Wang, Alexander Borst, Noga Zaslavsky, Naftali Tishby, Idan Segev, Efficient encoding of motion is mediated by gap junctions in the fly visual system
PLOS Computational Biology
Michael Doron, Giuseppe Chindemi, Eilif Muller, Henry Markram, Idan Segev, Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I/O Properties of Cortical Neurons. Doron et al.
Cell Reports 21, 1550-1561
Yair Deitcher, Guy Eyal, Lida Kanari, Matthijs B. Verhoog, Guy Antoine Atenekeng Kahou, Huibert D. Mansvelder, Christiaan P.J. de Kock, and Idan Segev, Comprehensive Morpho-Electrotonic Analysis Shows 2 Distinct Classes of L2 and L3 Pyramidal Neurons in Human Temporal Cortex.
Cerebral Cortex, 2017; 1-17, doi: 10.1093/cercor/bhx226
Eyal Gal, Michael London, Amir Globerson, Srikanth Ramaswamy, Michael W Reimann, Eilif Muller, Henry Markram & Idan Segev, Rich cell-type-specific network topology in neocortical microcircuitry
Nature Neuroscience, VOLUME 20 | NUMBER 7 | JULY 2017

2016

Guy Eyal, Matthijs B Verhoog, Guilherme Testa-Silva, Yair Deitcher, Johannes C Lodder, Ruth Benavides-Piccione, Juan Morales, Javier DeFelipe, Christiaan PJ de Kock, Huibert D Mansvelder, Idan Segev, Unique membrane properties and enhanced signal processing in human neocortical neurons. Eyal et al.
eLife 2016;5:e16553. DOI: 10.7554/eLife.16553
DeFelipe J., Douglas R. J., Hill S. L., Lein E. S., Martin K. A. C., Rockland K. S., Segev I., Shepherd G. M., Tamás G., Comments and General Discussion on "The Anatomical Problem Posed by Brain Complexity and Size: A Potential Solution"
Frontiers Neuroanat., 10 June 2016
Van Geit W., Gevaert M., Chindemi G., Rössert Ch., Courcol J. D., Muller E., Schürmann F., Segev I., Markram H., Leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience
Frontiers Neuroinform. 2016; 10: 17.
Rössert Ch., Pozzorini Ch., Chindemi G., Davison A. P., Eroe C., King J., Newton T. H., Nolte M. Ramaswamy S., Reimann M. W., Gewaltig M. O., Gerstner W. Markram H., Segev I., Muller E., Automated point-neuron simplification of data-driven microcircuit models
arXiv:1604.00087
Amsalem O., Van Geit W., Muller E., Markram H., Segev I. , From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells
Cerebral Cortex 26(8): 3655–3668.

2015

2014

Jonathan Laudanski, Benjamin Torben-Nielsen, Idan Segev, , Spatially Distributed Dendritic Resonance Selectively Filters Synaptic Input
PLOS Computational Biology | Volume 10 | Issue 8 | e1003775