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).

David Beniaguev

PhD Student

Eilam Goldenberg Leleo

PhD Student

Eyal Gal

PhD Student

Hadas Manor

PhD Student

Toviah Moldwin

PhD Student

Jonathan Leibner

MSc Student

Sima Dubnov

MSc Student

Moria Fridman

MSc Student

Menachem
Kalmanson

MSc Student

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)

Rabinowitch I. and Segev I.

Two opposing plasticity mechanisms pulling a single synapse

Trends Neurosci. 31(8):377-83 (2008)

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)

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)

Cuntz H, Borst A, Segev I,

Optimization principles of dendritic structure

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

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)

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)

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)

Rabinowitch I. and Segev I.

The Interplay Between Homeostatic Synaptic Plasticity and Functional Dendritic Compartments

J Neurophysiol 96:276-283 (2006)

Segev I

What do dendrites and their synapses tell the neuron?

JN 95:1295-1297 (2006)

anitt Y, Martin KA, Segev I.

Depressed responses of facilitatory synapses

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

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)

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)

London M, Segev I.

synaptic music in dendrites

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

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)

Segev I.

Synchrony is stubborn in feedforword cortical networks

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

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)

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)

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)

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

Information capacity and robustness of stochastic neuron models

Advances in neural information processing systems · February 2000 (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)

Koch C, Segev I.

The role of single neurons in information processing

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

Segev I, London M.

Untangling dendrites with quantitative models

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

Segev I, Schneidman E.

Axons as computing devices: Basic insights gained from models

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

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)

Segev I.

Taming time in the olfactory bulb

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

Idan Segev

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

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

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)

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)

Koch C, Rapp M, Segev I.

A Brief History of Time (Constants)

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

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)

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)

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)

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)

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)

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)

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)

Idan Segev

Single neurone models: oversimple, complex and reduced

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

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)

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)

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)

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)

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)

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)

Segev I., Rall W.

Computational study of an excitable dendritic spine

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

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)

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)

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)

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)

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)

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)

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

People

David Beniaguev

PhD Student

Eilam Goldenberg Leleo

PhD Student

Eyal Gal

PhD Student

Hadas Manor

PhD Student

Toviah Moldwin

PhD Student

Jonathan Leibner

MSc Student

Sima Dubnov

MSc Student

Moria Fridman

MSc Student

Menachem
Kalmanson

MSc Student

Publications

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)

Rabinowitch I. and Segev I.

Two opposing plasticity mechanisms pulling a single synapse

Trends Neurosci. 31(8):377-83 (2008)

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)

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)

Cuntz H, Borst A, Segev I,

Optimization principles of dendritic structure

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

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)

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)

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)

Rabinowitch I. and Segev I.

The Interplay Between Homeostatic Synaptic Plasticity and Functional Dendritic Compartments

J Neurophysiol 96:276-283 (2006)

Segev I

What do dendrites and their synapses tell the neuron?

JN 95:1295-1297 (2006)

anitt Y, Martin KA, Segev I.

Depressed responses of facilitatory synapses

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

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)

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)

London M, Segev I.

synaptic music in dendrites

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

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)

Segev I.

Synchrony is stubborn in feedforword cortical networks

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

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)

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)

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)

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

Information capacity and robustness of stochastic neuron models

Advances in neural information processing systems · February 2000 (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)

Koch C, Segev I.

The role of single neurons in information processing

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

Segev I, London M.

Untangling dendrites with quantitative models

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

Segev I, Schneidman E.

Axons as computing devices: Basic insights gained from models

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

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)

Segev I.

Taming time in the olfactory bulb

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

Idan Segev

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

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

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)

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)

Koch C, Rapp M, Segev I.

A Brief History of Time (Constants)

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

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)

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)

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)

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)

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)

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)

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)

Idan Segev

Single neurone models: oversimple, complex and reduced

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

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)

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)

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)

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)

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)

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)

Segev I., Rall W.

Computational study of an excitable dendritic spine

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

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)

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)

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)

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)

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)

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)

Open Positions

At this time there are no available positions in the lab.

Additional Information

Honors:
The David & Inez Myers Chair in Computational Neuroscience

Lab Website:
Lab Website

Idan Segev

Professor Emeritus

Email: idan@lobster.ls.huji.ac.il

Phone: +972-54-8820610

Idan Segev CV

Idan Segev

@Segev_Lab

https://lobster.ls.huji.ac.il/idan