Idan Segev Lab

ELSC Members

David and Inez Myers Chair in Neural Computation, Emeritus
The lab for understanding neurons Drahi Brain Computation & Communication Laboratory

Neurons – these aesthetic elementary microchips of the brain and their synapses 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 “brain inspired” learning machines, Art and Science. A deep understanding of a computing and learning system such as our own brain requires understanding the computational and plastic functions of its basic components – the nerve cells, their synapses and the specific neuronal networks that they form. Our laboratory utilizes detailed computer simulations of detailed cortical circuits (as part of the Blue Brain Project), big data and machine learning approaches, and analytic methods to study the relationships between neurons’ geometry, network connectivity/plasticity and network dynamics. A recent challenge at the lab. is to understand the unique properties of Human cortical neurons and cortical circuits, measured in fresh human tissue obtained following brain operations, and in close collaboration with several international groups (under the “Cell Census” NIH BRAIN Initiative).

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Idan Segev

Professor Emeritus

Email: idan@lobster.ls.huji.ac.il
Phone: +972-54-8820610
Idan Segev CV
Idan Segev
@Segev_Lab
Address: The Edmond and Lily Safra Center for Brain Sciences
The Suzanne and Charles Goodman Brain Sciences Building,
Level 2, Room 1202, Edmond J. Safra Campus,
The Hebrew University of Jerusalem, 9190401
https://lobster.ls.huji.ac.il/idan
David and Inez Myers Chair in Neural Computation, Emeritus
The lab for understanding neurons Drahi Brain Computation & Communication Laboratory

Neurons – these aesthetic elementary microchips of the brain and their synapses 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 “brain inspired” learning machines, Art and Science. A deep understanding of a computing and learning system such as our own brain requires understanding the computational and plastic functions of its basic components – the nerve cells, their synapses and the specific neuronal networks that they form. Our laboratory utilizes detailed computer simulations of detailed cortical circuits (as part of the Blue Brain Project), big data and machine learning approaches, and analytic methods to study the relationships between neurons’ geometry, network connectivity/plasticity and network dynamics. A recent challenge at the lab. is to understand the unique properties of Human cortical neurons and cortical circuits, measured in fresh human tissue obtained following brain operations, and in close collaboration with several international groups (under the “Cell Census” NIH BRAIN Initiative).

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Toviah Moldwin
Post Doc
david beniaguev
David Beniaguev
Post Doc
Netanel_Ofer_ELSC
Netanel Ofer
Post Doc
ELSC-Seminars-General
Jonathan Leibner
Ph.D.
Ido photo
Ido Aizenbud
Ph.D.
Sapir Shapira
Sapir Shapira
Ph.D.
Daniela yoeli
Daniela Yoeli
M.Sc.
Maor Nativ
Maor Nativ
M.Sc.
ADMIN PHOTO
Shir Levy
M.Sc.
ADMIN PHOTO
Nitzan Luxembourg
M.Sc.
Joseph Schwartz
Joseph Schwartz
M.Sc.
Michal leci
Michal Leci
Administrative Assistant and Budgets Coordinator
ELSC-Seminars-General
Alon Schindel
Oren_Amsalem
Oren Amsalem
Phone: +972-54-5526161
ELSC_michael
Michael Doron
SiweiWang
Siwei Wang
Phone: +972-2-6586989
David Beniaguev, Idan Segev, Michael London

Single cortical neurons as deep artificial neural networks

Neuron, ISSN 0896-6273 (2021)

Gal,Eyal, Amsalem,Oren, Schindel,Alon, London,Michael, Schürmann,Felix, Markram,Henry, Segev,Idan

The Role of Hub Neurons in Modulating Cortical Dynamics

Frontiers in Neural Circuits  (2021)

Eilam Goldenberg Leleo ,Idan Segev

Burst control: Synaptic conditions for burst generation in cortical layer 5 pyramidal neurons

PLoS Comput Biol 17(11): e1009558. (2021)

Amir Dudai, Michael Doron, Idan Segev and Michael London

Synaptic input and ACh modulation regulate dendritic Ca2+ spike duration in pyramidal neurons, directly affecting their somatic output

Journal of Neuroscience, JN-RM-1470-21 (2021)

GJ, Ng L, Ojemann JG, Patel AP, Phillips JW, Silbergeld DL, Smith K, Tasic B, YusteR, Segev I, de Kock CPJ, Mansvelder HD, Tamas G, Zeng H, Koch C, Lein ES.

Human neocortical expansion involves glutamatergic neuron diversification

Nature (2021)

Moldwin T, Kalmenson M, Segev I

The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic nonlinearities, structural plasticity, and gradient descent

PLOS Computational Biology 17(5): e1009015 (2021)

Benavides-Piccione, R., M. Regalado-Reyes, I. Fernaud-Espinosa, A. Kastanauskaite, S. Tapia-Gonzalez, G. Leon-Espinosa, C. Rojo, R. Insausti, I. Segev, and J. DeFelipe

Differential Structure of Hippocampal CA1 Pyramidal Neurons in the Human and Mouse

Cereb Cortex (2020)

Oren Amsalem, James King, Michael Reimann, Srikanth Ramaswamy, Eilif Muller, Henry Markram, Israel Nelken, Idan Segev

Dense Computer Replica of Cortical Microcircuits Unravels Cellular Underpinnings of Auditory Surprise Response

bioRxiv (2020)

Giuseppe Chindemi, Marwan Abdellah, Oren Amsalem, Ruth Benavides-Piccione, Vincent Delattre, Michael Doron, Andras Ecker, James King, Pramod Kumbhar, Caitlin Monney, Rodrigo Perin, Christian Rössert, Werner Van Geit, Javier DeFelipe, Michael Graupner, Idan Segev, Henry Markram, Eilif Muller

A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex

bioRxiv (2020)

Jim Berg, Staci A. Sorensen, Jonathan T. Ting, Jeremy A. Miller, Thomas Chartrand, Anatoly Buchin, Trygve E. Bakken, Agata Budzillo, Nick Dee, Song-Lin Ding, Nathan W. Gouwens, Rebecca D. Hodge, Brian Kalmbach, Changkyu Lee, Brian R. Lee, Lauren Alfiler, Katherine Baker, Eliza Barkan, Allison Beller, Kyla Berry, Darren Bertagnolli, Kris Bickley, Jasmine Bomben, Thomas Braun, Krissy Brouner, Tamara Casper, Peter Chong, Kirsten Crichton, Rachel Dalley, Rebecca de Frates, Tsega Desta, Samuel Dingman Lee, Florence D’Orazi, Nadezhda Dotson, Tom Egdorf, Rachel Enstrom, Colin Farrell, David Feng, Olivia Fong, Szabina Furdan, Anna A. Galakhova, Clare Gamlin, Amanda Gary, Alexandra Glandon, Jeff Goldy, Melissa Gorham, Natalia A. Goriounova, Sergey Gratiy, Lucas Graybuck, Hong Gu, Kristen Hadley, Nathan Hansen, Tim S. Heistek, Alex M. Henry, Djai B. Heyer, DiJon Hill, Chris Hill, Madie Hupp, Tim Jarsky, Sara Kebede, Lisa Keene, Lisa Kim, Mean-Hwan Kim, Matthew Kroll, Caitlin Latimer, Boaz P. Levi, Katherine E. Link, Matthew Mallory, Rusty Mann, Desiree Marshall, Michelle Maxwell, Medea McGraw, Delissa McMillen, Erica Melief, Eline J. Mertens, Leona Mezei, Norbert Mihut, Stephanie Mok, Gabor Molnar, Alice Mukora, Lindsay Ng, Kiet Ngo, Philip R. Nicovich, Julie Nyhus, Gaspar Olah, Aaron Oldre, Victoria Omstead, Attila Ozsvar, Daniel Park, Hanchuan Peng, Trangthanh Pham, Christina A. Pom, Lydia Potekhina, Ramkumar Rajanbabu, Shea Ransford, David Reid, Christine Rimorin, Augustin Ruiz, David Sandman, Josef Sulc, Susan M. Sunkin, Aaron Szafer, Viktor Szemenyei, Elliot R. Thomsen, Michael Tieu, Amy Torkelson, Jessica Trinh, Herman Tung, Wayne Wakeman, Katelyn Ward, René Wilbers, Grace Williams, Zizhen Yao, Jae-Geun Yoon, Costas Anastassiou, Anton Arkhipov, Pal Barzo, Amy Bernard, Charles Cobbs, Philip C. de Witt Hamer, Richard G. Ellenbogen, Luke Esposito, Manuel Ferreira, Ryder P. Gwinn, Michael J. Hawrylycz, Patrick R. Hof, Sander Idema, Allan R. Jones, C.Dirk Keene, Andrew L. Ko, Gabe J. Murphy, Lydia Ng, Jeffrey G. Ojemann, Anoop P. Patel, John W. Phillips, Daniel L. Silbergeld, Kimberly Smith, Bosiljka Tasic, Rafael Yuste, Idan Segev, Christiaan P.J. de Kock, Huibert D. Mansvelder, Gabor Tamas, Hongkui Zeng, Christof Koch, Ed S. Lein

Human cortical expansion involves diversification and specialization of supragranular intratelencephalic-projecting neurons

bioRxiv (2020)

Siwei Wang, Alexander Borst, Idan Segev, Stephanie Palmer

Axonal gap junctions in the fly visual system enable fast prediction for evasive flight maneuvers

bioRxiv (2020)

Iascone et al.

Whole-Neuron Synaptic Mapping Reveals Spatially Precise Excitatory/Inhibitory Balance Limiting Dendritic and Somatic Spiking

Neuron (2020)

Yaara Lefler, Oren Amsalem, Nora Vrieler, Idan Segev, Yosef Yarom

Using subthreshold events to characterize the functional architecture of the electrically coupled inferior olive network

eLife (2020)

David Beniaguev, Idan Segev, Michael London

Single Cortical Neurons as Deep Artificial Neural Networks

bioRxiv preprint first posted online Apr. 18, 2019; (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 (2019)

Amsalem, O., Eyal, G., Rogozinski, N. et al.

An efficient analytical reduction of detailed nonlinear neuron models

Nat Commun 11, 288 (2019)

Lefler Y., Amsalem O., Segev I., Yarom Y.

Using subthreshold events to characterize the functional architecture of electrically coupled networks

bioRxiv preprint (2018)

Moldwin T., Segev I.

Perceptron learning and classification in a modeled cortical pyramidal cell

bioRxiv preprint first posted online Nov. 9, 2018; doi: https://dx.doi.org/10.1101/464826. (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 (2018)

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 (2018)

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 (2017)

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 (2017)

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 (2017)

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 (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. (2016)

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. (2016)

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 (2016)

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 (2016)

Ramaswamy S. et al.

The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex

Front Neural Circuits; 9:44 (2015)

Markram H et al.

Reconstruction and Simulation of Neocortical Microcircuitry

Cell Volume 163, Issue 2, P456-492 (2015)

Etay Hay, Idan Segev,

Dendritic Excitability and Gain Control in Recurrent Cortical Microcircuits

Cereb Cortex. 25(10):3561-71 (2015)

Mohan H, et al.

Dendritic and Axonal Architecture of Individual Pyramidal Neurons across Layers of Adult Human Neocortex

Cereb Cortex; 25(12):4839-53 (2015)

Jonathan Laudanski, Benjamin Torben-Nielsen, Idan Segev,

Spatially Distributed Dendritic Resonance Selectively Filters Synaptic Input

PLOS Computational Biology | Volume 10 | Issue 8 | e1003775 (2014)

Guy Eyal, Huibert D. Mansvelder, Christiaan P.J. de Kock, and Idan Segev,

Dendrites Impact the Encoding Capabilities of the Axon

Journal of Neuroscience, 34 (24) 8063-8071 (2014)

Idan Segev, Luis M. Martinez and Robert J. Zatorre,

Brain and Art

Front. Hum. Neurosci. (2014)

Anat Yaron-Jakoubovitch, Christof Koch, Idan Segev, and Yosef Yarom

The unimodal distribution of subthreshold, ongoing activity in cortical networks

Front Neural Circuits. 7: 116. (2013)

Etay Hay, Felix Schurmann, Henry Markram and Idan Segev

Preserving axosomatic spiking features despite diverse dendritic morphology

J Neurophysiol. 109(12):2972-81 (2013)

Lital Bar-Ilan, Albert Gidon and Idan Segev

he role of dendritic inhibition in shaping the plasticity of excitatory synapses

Front. Neural Circuits (2013)

Leora Sarid; Dirk Feldmeyer; Albert Gidon; Bert Sakmann; Idan Segev,

Contribution of Intracolumnar Layer 2/3-to-Layer 2/3 Excitatory Connections in Shaping the Response to Whisker Deflection in Rat Barrel Cortex

Cereb Cortex. 25(4): 849–858. (2013)

Segev Idan and Schurmann Felix.

Brain Projects Think Big

Frontiers for young minds (2013)

Benjamin Torben-Nielsen , Idan Segev, Yosef Yarom

The Generation of Phase Differences and Frequency Changes in a Network Model of Inferior Olive Subthreshold Oscillations

PLoS Computational Biology, Volume 8 | Issue 7 | e1002580 (2012)

Gidon A.,Segev I.

Principles Governing the Operation of Synaptic Inhibition in Dendrites

Neuron; 75(2):330-41 (2012)

Nowik I, Zamir Sh, Segev I.

Losing the battle but winning the war: game theoretic analysis of the competition between motoneurons innervating a skeletal muscle

Frontiers in Computational Neuroscience, Volume 6, Article 16 (2012)

Shaul Druckmann, Thomas K. Berger, Felix Schürmann, Sean Hill, Henry Markram, Idan Segev

Effective Stimuli for Constructing Reliable Neuron Models

PLOS Computational Biology 7:e1002133 (2012)

Druckmann Sh., Hill S., Schurmann F., Markram H., and Segev I.

A Hierarchical Structure of Cortical Interneuron Electrical Diversity Revealed by Automated Statistical Analysis

Cereb Cortex. 23(12):2994-3006. (2012)

Etay Hay, Sean Hill2, Felix Schurmann, Henry Markram, Idan Segev

Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties

PLoS Computational Biology | Volume 7 | Issue 7 | e1002107 (2011)

Bar Ilan L., Gidon A. and Segev I.

Interregional synaptic competition in neurons with multiple STDP-inducing signals

J Neurophysiol 105:989-998 (2010)

Gidon A. and Segev I.

Spike-Timing-Dependent Synaptic Plasticity and Synaptic Democracy in Dendrites

J Neurophysiol. 101(6): 3226–3234 (2009)

Rabinowitch I. and Segev I.

Two opposing plasticity mechanisms pulling a single synapse

Trends Neurosci. 31(8):377-83 (2008)

Druckmann S, Berger TK, Hill S, Schurmann F, Markram H, Segev I.

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

Biol Cybern. 99(4-5):371-9. (2008)

Yaron-Jakoubovitch A., Jacobson G., Koch Ch., Segev I. and Yarom Y.

A paradoxical isopotentiality: a spatially uniform noise spectrum in neocortical pyramidal cells

Front Cell Neurosci. 13;2:3 (2008)

Cuntz H, Haag J, Forstner F, Segev I, Borst A

Robust coding of flow-field parameters by axo-axonal gap junctions between fly visual interneurons

Proc Natl Acad Sci U S A. 2007 Jun 12;104(24):10229-33. (2007)

Cuntz H, Borst A, Segev I,

Optimization principles of dendritic structure

Theor Biol Med Model. 2007; 4: 21. (2007)

Sarid, L., Bruno R., Sakmann B., Segev I., and Feldmeyer D.

Modeling a L4-to-L2/3 module of a single column in rat neocortex – interweaving in vitro and in vivo experimental observations

Proc Natl Acad Sci U S A. 2007 Oct 9;104(41):16353-8. (2007)

Druckmann, S., Banitt, Y., Gideon, A., Schurmann, F., Markram, H. and Segev I.

A Novel Multiple Objective Optimization Framework for Automated Constraining of Conductance-Based Neuron Models by Noisy Experimental Data

Front Neurosci. 2007 Nov; 1(1): 7–18. (2007)

Segev I

What do dendrites and their synapses tell the neuron?

JN 95:1295-1297 (2006)

Rabinowitch I. and Segev I.

The Interplay Between Homeostatic Synaptic Plasticity and Functional Dendritic Compartments

J Neurophysiol 96:276-283 (2006)

Rabinowitch I. and Segev I.

The Endurance and Selectivity of Spatial Patterns of Long-Term Potentiation/Depression in Dendrites under Homeostatic Synaptic Plasticity

Journal of Neuroscience 27 December 2006, 26 (52) 13474-13484; (2006)

Diba K, Koch C and Segev I.

Spike propagation in dendrites with stochastic ion channels

J Comput Neurosci. 2006 Feb;20(1):77-84. (2006)

Jacobson GA, Diba K, Yaron-Jakoubovitch A, Oz Y, Koch C, Segev I, Yarom Y

voltage noise of rat neocortical pyramidal neurones

J Physiol. 2005 Apr 1; 564(Pt 1): 145–160. (2005)

anitt Y, Martin KA, Segev I.

Depressed responses of facilitatory synapses

J Neurophysiol. 2005 Jul;94(1):865-70. (2005)

London M, Segev I.

synaptic music in dendrites

Nat Neurosci. 2004 Sep;7(9):904-5. (2004)

Fuhrmann G, Cowan A, Segev I, Tsodyks M, Stricker C.

Multiple mechanisms govern the dynamics of depression at neocortical synapses of young rats

J Physiol. 2004 Jun 1;557(Pt 2):415-38. (2004)

Segev I.

Synchrony is stubborn in feedforword cortical networks

Nat Neurosci. 2003 Jun;6(6):543-4. (2003)

Vladimir Litvak; Haim Sompolinsky; Idan Segev; Moshe Abeles

On the transmission of rate code in long feedforward networks with excitatory-inhibitory balance

J Neurosci. 2003 Apr 1;23(7):3006-15. (2003)

London M, Segev I.

Synaptic scaling in vitro and in vivo

Nat Neurosci. 2001 Sep;4(9):853-5. (2002)

London M, Schreibman A, Häusser M, Larkum ME, Segev I.

The information efficacy of a synapse

Nat Neurosci. 2002 Apr;5(4):332-40. (2002)

Meunier C, Segev I.

Playing the devil’s advocate: is the Hodgkin-Huxley model useful?

Trends Neurosci. 2002 Nov;25(11):558-63 (2002)

Meunier C, Segev I.

Playing the devil’s advocate: Is the Hodgkin-Huxley model useful?

Trends Neurosci. 2002 Nov;25(11):558-63. (2002)

Fuhrmann G., Segev I., Markram H., and Tsodyks M.

Coding of Temporal Information by Activity-Dependent Synapses

J Neurophysiol. 2002 Jan;87(1):140-8 (2002)

Segev I, London M.

Untangling dendrites with quantitative models

Science. 2000 Oct 27;290(5492):744-50 (2000)

Koch C, Segev I.

The role of single neurons in information processing

Nat Neurosci. 2000 Nov;3 Suppl:1171-7 (2000)

Steinmetz PN, Manwani A, Koch C, London M, Segev I.

Subthreshold voltage noise due to channel fluctuations in active neuronal membranes

J Comput Neurosci. 2000 Sep-Oct;9(2):133-48. (2000)

Schneidmann E., Segev I., and Tishby N.

Information capacity and robustness of stochastic neuron models

Advances in neural information processing systems · February 2000 (2000)

Segev I.

Taming time in the olfactory bulb

Nat Neurosci. 1999 Dec;2(12):1041-3 (1999)

Michael London, Claude Meunier and Idan Segev

Signal transfer in passive dendrites with non-uniform membrane conductance

Journal of Neuroscience 1 October 1999, 19 (19) 8219-8233 (1999)

Anderson JC, Binzegger T, Kahana O, Martin KA, Segev I.

Dendritic asymmetry cannot account for directional responses of neurons in visual cortex

Nat Neurosci. 1999 Sep;2(9):820-4 (1999)

Segev I, Schneidman E.

Axons as computing devices: Basic insights gained from models

J Physiol Paris. 1999 Sep-Oct;93(4):263-70 (1999)

Senn W, Segev I, Tsodyks M.

Reading neuronal synchrony with depressing synapses

Neural Comput. 1998 May 15;10(4):815-9. (1998)

Idan Segev

Sound grounds for computing dendrites

Nature. 1998 May 21;393(6682):207-8. (1998)

Schneidman E, Freedman B, Segev I.

Ion channel stochasticity may be critical in determining the reliability and precision of spike timing

Neural Comput. 1998 Oct 1;10(7):1679-703. (1998)

Idan Segev

Excitable dendrites and spines: earlier theoretical insights elucidate recent direct observations

Trends Neurosci. 1998 Nov;21(11):453-60. (1998)

Manor Y, Rinzel J, Segev I, Yarom Y.

Low amplitude oscillations in the inferior olive: A model based on electrical coupling of neurons with heterogeneous channel density

J Neurophysiol. 1997 May;77(5):2736-52. (1997)

Yoram Gutfreund, Tamar Flash, Yosef Yarom, Graziano Fiorito, Idan Segev and Binyamin Hochner

Organization of octopus arm movement: A model system for studying the control of flexible arm

Journal of Neuroscience 15 November 1996, 16 (22) 7297-7307 (1996)

Rapp M, Yarom Y, Segev I.

Modeling back propagating action potential in weakly excitable dendrites of neocortical pyramidal cells

Proc Natl Acad Sci U S A. 1996 Oct 15;93(21):11985-90 (1996)

Koch C, Rapp M, Segev I.

A Brief History of Time (Constants)

Cereb Cortex. 1996 Mar-Apr;6(2):93-101 (1996)

Zador AM, Agmon-Snir H, Segev I.

The morphoelectrotonic transform: a graphical approach to dendritic function

J Neurosci. 1995 Mar;15(3 Pt 1):1669-82. (1995)

Gutfreund Y, Yarom Y, Segev I.

Subthreshold oscillations and resonant frequency in guinea pig cortical neurons: physiology and modeling

J Physiol. 1995 Mar 15;483 ( Pt 3):621-40. (1995)

Segev I, Friedman A, White EL, Gutnick MJ.

Electrical consequences of spine dimensions in a model of a cortical spiny stellate cell completely reconstructed from serial thin sections

J Comput Neurosci. 1995 Jun;2(2):117-30. (1995)

Rapp M, Segev I, Yarom Y.

Physiology, morphology and detailed passive models of cerebellar Purkinje cells

J Physiol. 1994 Jan 1;474(1):101-18. (1994)

Agmon-Snir H, Segev I.

Signal delay and input synchronization in passive dendritic structures

J Neurophysiol. 1993 Nov;70(5):2066-85. (1993)

W. Rall, R. E. Burke, W. R. Holmes, J. J. Jack, S. J. Redman, and I. Segev

Matching dendritic neuron models to experimental data

Physiol Rev. 1992 Oct;72(4 Suppl):S159-86. (1992)

Rapp M., Yarom Y., and Segev I.

The impact of parallel fiber background activity on the cable properties of cerebellar Purkinje cells

Neural Computation; Volume: 4 , Issue: 4 , July 1992 (1992)

Idan Segev

Single neurone models: oversimple, complex and reduced

Trends In Neuroscience | VOLUME 15, ISSUE 11, P414-421, NOVEMBER 01, 1992 (1992)

Holmes WR, Segev I, Rall W.

Interpretation of time constant and electrotonic length estimate of multi-cylinder or branched neuronal structures

J Neurophysiol. 1992 Oct;68(4):1401-20. (1992)

Y Manor, J Gonczarowski, and I Segev

Propagation of action potentials along complex axonal tree: Model and implementation

Biophys J. 1991 Dec; 60(6): 1411–1423. (1991)

Manor Y, Koch C, Segev I.

Effect of geometrical irregularities on propagation delay in axonal trees

Biophys J. 1991 Dec;60(6):1424-37. (1991)

Nitzan R., Segev I. and Yarom Y.

Voltage behavior along the irregular dendritic structure of morphologically and physiologically characterized vagal motoneurons of the guinea pig

JOURNAL OF NEUROPHYSIOLOGY Vol. 63. No. 2, February 1990. (1990)

Segev I.

Computer study of presynaptic inhibition controlling the spread of action potentials into axonal terminals

J Neurophysiol. 1990 May;63(5):987-98. (1990)

Segev I, Fleshman JW Jr, Burke RE.

Computer simulation of group Ia EPSPs using morphologically realistic models of cat a-motoneurons

J Neurophysiol. 1990 Aug;64(2):648-60. (1990)

Burke RE, Fleshman JW, Segev I.

Factors that control the efficacy of group Ia synapses in alpha-motoneurons

J Physiol (Paris). 1988-1989;83(3):133-40. (1989)

Fleshman JW, Segev I, Burke RB.

Electrotonic architecture of type-identified a-motoneurons in the cat spinal cord

J Neurophysiol. 1988 Jul;60(1):60-85. (1988)

Segev I., Rall W.

Computational study of an excitable dendritic spine

J Neurophysiol. 1988 Aug;60(2):499-523. (1988)

Shepherd GM, Brayton RK, Miller JP, Segev I, Rinzel J, Rall W.

Signal enhancement in distal cortical dendrites by means of interactions between active dendritic spines

Proc Natl Acad Sci U S A. 1985 Apr;82(7):2192-5. (1985)

Segev I, Parnas I.

Nonlinear cable properties of the giant axon of the cockroach Periplaneta Americana

J Gen Physiol. 1985 May;85(5):729-41. (1985)

Segev I, Fleshman JW, Miller JP, Bunow B.

Modeling the electrical behavior of anatomically complex neurons using a network analysis program: passive membrane

Biol Cybern. 1985;53(1):27-40. (1985)

Bunow B, Segev I, Fleshman JW.

Modeling the electrical behavior of anatomically complex neurons using a network analysis program: Excitable membrane

Biol Cybern. 1985;53(1):41-56. (1985)

I Segev and I Parnas

Synaptic integration mechanisms: A theoretical and experimental investigation of temporal postsynaptic interaction between excitatory and inhibitory inputs

Biophys J. 1983 Jan; 41(1): 41–50. (1983)

I Parnas and I Segev

A mathematical model of conduction of action potentials along bifurcating axons

J Physiol. 1979 Oct; 295: 323–343. (1979)

At this time there are no available positions in the lab.
Honors:
The David & Inez Myers Chair in Computational Neuroscience

Lab Website:
Lab Website
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Idan Segev

Professor Emeritus

Email: idan@lobster.ls.huji.ac.il
Phone: +972-54-8820610
Idan Segev CV
Idan Segev
@Segev_Lab
Address: The Edmond and Lily Safra Center for Brain Sciences
The Suzanne and Charles Goodman Brain Sciences Building,
Level 2, Room 1202, Edmond J. Safra Campus,
The Hebrew University of Jerusalem, 9190401
https://lobster.ls.huji.ac.il/idan

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ELSC - The Edmond and Lily Safra Center for Brain Sciences

The Edmond & Lily Safra Center for Brain Sciences (ELSC) aims to develop a thriving interface between theory and experimentation across levels – cognitive, biological, and computational neuroscience – paving the way to innovative discovery in brain research.

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לחצו למעבר להרשמה

“Working memory”

New exhibition titled “Working memory” by the artist Alon kedem and in collaboration with ELSC Prof. Leon Deouell. In the picture: Moshe Lion, the mayor of Jerusalem and Prof. Asher Cohen, the president of The Hebrew University of Jerusalem.