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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Alon Schindel
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Oren Amsalem
Phone: +972-54-5526161
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Michael Doron
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Siwei Wang
Phone: +972-2-6586989
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)

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)

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)

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)

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)

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)

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)

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)

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)

David Beniaguev, Idan Segev, Michael London

Single cortical neurons as deep artificial neural networks

Neuron, ISSN 0896-6273 (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)

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)

Iascone et al.

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

Neuron (2020)

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

An efficient analytical reduction of detailed nonlinear neuron models

Nat Commun 11, 288 (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)

David Beniaguev, Idan Segev, Michael London

Single Cortical Neurons as Deep Artificial Neural Networks

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

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)

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)

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)

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

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

bioRxiv preprint (2018)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Etay Hay, Idan Segev,

Dendritic Excitability and Gain Control in Recurrent Cortical Microcircuits

Cereb Cortex. 25(10):3561-71 (2015)

Markram H et al.

Reconstruction and Simulation of Neocortical Microcircuitry

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

Ramaswamy S. et al.

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

Front Neural Circuits; 9:44 (2015)

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

Brain and Art

Front. Hum. Neurosci. (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)

Jonathan Laudanski, Benjamin Torben-Nielsen, Idan Segev,

Spatially Distributed Dendritic Resonance Selectively Filters Synaptic Input

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

Segev Idan and Schurmann Felix.

Brain Projects Think Big

Frontiers for young minds (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)

Lital Bar-Ilan, Albert Gidon and Idan Segev

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

Front. Neural Circuits (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)

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)

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)

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)

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)

Gidon A.,Segev I.

Principles Governing the Operation of Synaptic Inhibition in Dendrites

Neuron; 75(2):330-41 (2012)

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)

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)

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)

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)

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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“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.