In memoriam: Naftali Tishby Lab

ELSC Members

Prof. Naftali Tishby passes away at the age of 68
Read More

Ruth & Stan Flinkman Family Endowment Fund Chair in Brain Research
Tishby's Lab

NEWS

The 2019 IBT Award in Mathematical Neuroscience – THANKS!

Our Information Bottleneck Theory of Deep Learning has recently been noticed – at last!

See the Quanta-Magazine article on our work and my June 2017 Berlin Deep Learning Workshop talk which triggered it.

A longer talk given at Yandex, Moscow, October 10, 2017.

Recent & popular talks

ACDL, Siena, July 2019
MPI, Gottingen, July 2019
ISIT, Paris, July 2019
CBMM, Italy, June 2019
Gatsby triCenter meeting, London, June 2019
IPAM, Geometry of Big Data, UCLA, May 2019
Columbia University Economics, May 2019
IMVC, Tel-Aviv, April 2019 
CERN, Geneva, ML for HEP, April 2019
BrainTech, Tel-Aviv, March 2019
ICERM, Brown University, February 2019
Deep Learning & the Brain, ELSC, Jerusalem, January 2019
Directions in Theoretical Physics, Edinburgh, January 2019
Statistical Physics and Machine Learning: A 30 Year Perspectives, APS Physics Next Workshop, October 2018
Part I of a Mini-Course on The Information Theory of Deep Learning, ICTP, Trieste, November 2018
Part II of a Mini-Course on The Information Theory of Deep Learning, ICTP, Trieste, November 2018
Part III of a Mini-Course on The Information Theory of Deep Learning, ICTP, Trieste, November 2018
“What Makes Us Human: From Genes to Machines”, June 6, 2018, Jerusalem.
A Talk at the Israel Academy of Science, June 6, 2018, Jerusalem 
Interview on the future of Artificial Intelligence, The AI Summit, Berlin, June 2018.
Interview at SISSA , Trieste, Italy, before my physics colloquium, May 2018.
Perimeter Institute Physics Colloquium, Waterloo, Canada, April 2018.
Stanford CSE Colloquium, April 4, 2018.
Simons Institute, Berkeley, Public talk, April 9, 2018.
Simons Institute, Berkeley, “Brain & Computation program”, March 2018.
Human creativity, Music & Deep Learning, BIU, Nov. 29, 2017. 
The Synergy between Information and Control
שבוע אמנות ומוח 2016 דוד גרוסמן ופרופ’ נפתלי תשבי בדיאלוג על מוח, מחשבה, דמיון ויצירה

My Current Lab:

Selected Research Projects

We work at the interface between computer science, physics, and biology which provides some of the most challenging problems in today’s science and technology. We focus on organizing computational principles that govern information processing in biology, at all levels. To this end, we employ and develop methods that stem from statistical physics, information theory and computational learning theory, to analyze biological data and develop biologically inspired algorithms that can account for the observed performance of biological systems. We hope to find simple yet powerful computational mechanisms that may characterize evolved and adaptive systems, from the molecular level to the whole computational brain and interacting populations. An example is the Information Bottleneck method that provides a general principle for extracting relevant structure in multivariate data, characterizes complex processes, and suggests a general approach for understanding optimal adaptive biological behavior

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In memoriam: Naftali Tishby

Professor

https://naftali-tishby.mystrikingly.com
Prof. Naftali Tishby passes away at the age of 68
Read More

Ruth & Stan Flinkman Family Endowment Fund Chair in Brain Research
Tishby's Lab

NEWS

The 2019 IBT Award in Mathematical Neuroscience – THANKS!

Our Information Bottleneck Theory of Deep Learning has recently been noticed – at last!

See the Quanta-Magazine article on our work and my June 2017 Berlin Deep Learning Workshop talk which triggered it.

A longer talk given at Yandex, Moscow, October 10, 2017.

Recent & popular talks

ACDL, Siena, July 2019
MPI, Gottingen, July 2019
ISIT, Paris, July 2019
CBMM, Italy, June 2019
Gatsby triCenter meeting, London, June 2019
IPAM, Geometry of Big Data, UCLA, May 2019
Columbia University Economics, May 2019
IMVC, Tel-Aviv, April 2019 
CERN, Geneva, ML for HEP, April 2019
BrainTech, Tel-Aviv, March 2019
ICERM, Brown University, February 2019
Deep Learning & the Brain, ELSC, Jerusalem, January 2019
Directions in Theoretical Physics, Edinburgh, January 2019
Statistical Physics and Machine Learning: A 30 Year Perspectives, APS Physics Next Workshop, October 2018
Part I of a Mini-Course on The Information Theory of Deep Learning, ICTP, Trieste, November 2018
Part II of a Mini-Course on The Information Theory of Deep Learning, ICTP, Trieste, November 2018
Part III of a Mini-Course on The Information Theory of Deep Learning, ICTP, Trieste, November 2018
“What Makes Us Human: From Genes to Machines”, June 6, 2018, Jerusalem.
A Talk at the Israel Academy of Science, June 6, 2018, Jerusalem 
Interview on the future of Artificial Intelligence, The AI Summit, Berlin, June 2018.
Interview at SISSA , Trieste, Italy, before my physics colloquium, May 2018.
Perimeter Institute Physics Colloquium, Waterloo, Canada, April 2018.
Stanford CSE Colloquium, April 4, 2018.
Simons Institute, Berkeley, Public talk, April 9, 2018.
Simons Institute, Berkeley, “Brain & Computation program”, March 2018.
Human creativity, Music & Deep Learning, BIU, Nov. 29, 2017. 
The Synergy between Information and Control
שבוע אמנות ומוח 2016 דוד גרוסמן ופרופ’ נפתלי תשבי בדיאלוג על מוח, מחשבה, דמיון ויצירה

My Current Lab:

Selected Research Projects

We work at the interface between computer science, physics, and biology which provides some of the most challenging problems in today’s science and technology. We focus on organizing computational principles that govern information processing in biology, at all levels. To this end, we employ and develop methods that stem from statistical physics, information theory and computational learning theory, to analyze biological data and develop biologically inspired algorithms that can account for the observed performance of biological systems. We hope to find simple yet powerful computational mechanisms that may characterize evolved and adaptive systems, from the molecular level to the whole computational brain and interacting populations. An example is the Information Bottleneck method that provides a general principle for extracting relevant structure in multivariate data, characterizes complex processes, and suggests a general approach for understanding optimal adaptive biological behavior

Oren Peles, Uri Werner-Reiss, Hagai Bergman, Zvi Israel, Eilon Vaadia

Phase-Specific Microstimulation Differentially Modulates Beta Oscillations and Affects Behavior

Cell Reports Volume 30, Issue 8 (2020)

Ben Engelhard, Ran Darshan, Nofar Ozeri-Engelhard, Zvi Israel, Uri Werner-Reiss, David Hansel, Hagai Bergman, Eilon Vaadia

Neuronal activity and learning in local cortical networks are modulated by the action-perception state

bioRxiv (2019)

Lalazar, H. Abbott, L. and Vaadia, E.

Muscle and kinematic representations for arm and BMI control exist in orthogonal subspaces

Cosyne (2016)

Josef Musil, Darron Haylock, Matthew Hayhurst, Samuel Wilkinson, Xavier De Kestelier, Eilon Vaadia

Safra Neuron Screen

Advances in Architectural Geometry 2016 (2016)

Lalazar, H, Abbott LF, Vaadia E.

Tuning Curves for Arm Posture Control in Motor Cortex Are Consistent with Random Connectivity.

PLoS computational biology, Volume: 12, Issue: 5, e1004910 (2016)

Ben, E, Eilon V.

Spatial computation with gamma oscillations

Front Syst. Neuros, Volume: 8, Issue: 165 (2014)

Taubman H, Vaadia E, Paz R, Chechik G.

A Bayesian approach for characterizing direction tuning curves in the supplementary motor area of behaving monkeys

J Neurophysiol. 109(11):2842-51 (2013)

Engelhard B, Ozeri N, Israel Z, Bergman H, Vaadia E.

Inducing Gamma Oscillations and Precise Spike Synchrony by Operant Conditioning via Brain-Machine Interface

Neuron; 77(2):361-75 (2013)

Levy-Tzedek S, Novick I, Arbel R, Abboud S, Maidenbaum S, Vaadia E, Amedi A.

Cross-sensory transfer of sensory-motor information: visuomotor learning affects performance on an audiomotor task, using sensory-substitution

Sci Rep. 2012;2:949 (2012)

Zach N. Inbar D., Grinvald, Y. and Vaadia, E.

Single neurons in M1 and premotor cortex directly reflect behavioral interference

PLoS One. 2012;7(3):e32986. (2012)

Rosin B, Slovik M, Mitelman R, Rivlin-Etzion M, Haber SN, Israel Z, Vaadia E, Bergman H.

Closed-loop deep brain stimulation is superior in ameliorating Parkinsonism

Neuron, 72(2), 370-384 (2011)

Mandelblat-Cerf Y, Novick I, Vaadia E.

Expressions of multiple neuronal dynamics during sensorimotor learning in the motor cortex of behaving monkeys

PLoS One; 6(7):e21626. (2011)

Novick I, Vaadia E.

Just do it: action-dependent learning allows sensory prediction

PLoS One. 2011;6(10):e26020. (2011)

Braun DA, Aertsen A, Paz R, Vaadia E, Rotter S, Mehring C.

Online adaptation and over-trial learning in macaque visuomotor control

Front Comput Neurosci. 2011; 5: 27. (2011)

Mandelblat-Cerf Y, Novick I, Paz R, Link Y, Freeman S, Vaadia E.

The Neuronal Basis of Long-Term Sensorimotor Learning

Journal of Neuroscience 5 January 2011, 31 (1) 300-313 (2011)

15. Eisenberg M, Shmuelof L, Vaadia E, Zohary E.

The Representation of Visual and Motor Aspects of Reaching Movements in the Human Motor Cortex

Journal of Neuroscience, 31 (34) 12377-12384; (2011)

Fritzie Arce, Itai Novick, Yael Mandelblat-Cerf, Zvi Israel, Claude Ghez and Eilon Vaadia

Combined Adaptiveness of Specific Motor-Cortical Ensembles Underlies Learning

Journal of Neuroscience 14 April 2010, 30 (15) 5415-5425 (2010)

Arce F, Novick I, Vaadia E.

Discordant Tasks and Motor Adjustments Affect Interactions between Adaptations to Altered Kinematics and Dynamics

Front Hum Neurosci. 2010 Jan 4;3:65 (2010)

Eisenberg M, Shmuelof L, Vaadia E, Zohary E.

Functional Organization of Human Motor Cortex: Directional Selectivity for Movement

J Neurosci. 2010 Jun 30;30(26):8897-905 (2010)

Arce F, Novick I, Mandelblat-Cerf Y, Vaadia E.

Neuronal correlates of memory formation in motor cortex after adaptation to force field

J Neurosci. 2010 Jul 7;30(27):9189-98 (2010)

22. Birbaumer N and Vaadia E.

Brain computer Interface and Neurofeedback

Neuroscience (2009)

Arce F, Novick I, Shahar M, Link Y, Ghez C, Vaadia E.

Differences in context and feedback result in different trajectories and adaptation strategies in reaching

PLoS ONE. 4(1):e4214. Epub 2009 (2009)

Joshua, M, Adler A, Rosin B, Vaadia E, Bergman H.

Encoding of probabilistic rewarding and aversive events by pallidal and nigral neurons.

Journal of neurophysiology, Volume 101, Issue 2, Pages 758-772 (2009)

Eilon Vaadia, and Niels Birbaumer

Grand challenges of brain computer interfaces in the years to come

Front Neurosci. 2009 Sep; 3(2): 151–154 (2009)

Paz R, Vaadia E.

Learning from learning: what can visuomotor adaptations tell us about the neuronal representation of movement?

Adv Exp Med Biol. 2009;629:221-42. (2009)

Joshua M, Adler A, Prut Y, Vaadia E, Wickens JR, Bergman H.

Synchronization of midbrain dopaminergic neurons is enhanced by rewarding events

Neuron. 62(5):695-704 (2009)

Amir Globerson, Eran Stark, Eilon Vaadia, and Naftali Tishby

The minimum information principle and its application to neural code analysis

PNAS March 3, 2009 106 (9) 3490-3495; (2009)

Mandelblat-Cerf Y, Paz R, Vaadia E.

Trial-to-trial variability of single cells in motor cortices is dynamically modified during visuomotor adaptation

J Neurosci. 2009 Dec 2;29(48):15053-62 (2009)

Neta Zach, Dorrit Inbar, Yael Grinvald, Hagai Bergman and Eilon Vaadia

Emergence of novel representations in primary motor cortex and premotor neurons during associative learning

Journal of Neuroscience 17 September 2008, 28 (38) 9545-9556; (2008)

Rivlin-Etzion M, Marmor O, Saban G, Rosin B, Haber SN, Vaadia E, Prut Y, Bergman H.

Low-pass filter properties of basal ganglia cortical muscle loops in the normal and MPTP primate model of parkinsonism

J Neurosci. 2008 Jan 16;28(3):633-49. (2008)

Joshua, M, Adler A, Mitelman R, Vaadia E, Bergman H.

Midbrain dopaminergic neurons and striatal cholinergic interneurons encode the difference between reward and aversive events at different epochs of probabilistic classical conditioning trials.

Journal of Neuroscience, 28 (45) 11673-11684 (2008)

Lalazar H, Vaadia E.

Neural basis of sensorimotor learning: modifying internal models

Curr Opin Neurobiol. 2008 Dec;18(6):573-81. (2008)

Morris, Nevet, Arkadir, Vaadia and Bergman

Midbrain dopamine neurons encode decisions for future action

Nature Neuroscience volume 9, pages 1057–1063 (2006)

Paz R, Nathan C, Boraud T, Bergman H, Vaadia E.

Acquisition and generalization of visuomotor transformations by nonhuman primates

Exp Brain Res. 2005 Feb;161(2):209-19. (2005)

Rony Paz, Chen Natan, Thomas Boraud, Hagai Bergman and Eilon Vaadia

Emerging patterns of neuronal responses in supplementary and primary motor areas during sensorimotor adaptation

Journal of Neuroscience 23 November 2005, 25 (47) 10941-10951; (2005)

Rickert J, Oliveira SC, Vaadia E, Aertsen A, Rotter S, Mehring C.

Encoding of movement direction in different frequency ranges of motor cortical local field potentials

J Neurosci. 2005 Sep 28;25(39):8815-24. (2005)

Zach N, Kanarek N, Inbar D, Grinvald Y, Milestein T, Vaadia E.

Segregation between acquisition and long-term memory in sensorimotor learning

Eur J Neurosci. 2005 Nov;22(9):2357-62. (2005)

Shpigelman L, Singer Y, Paz R, Vaadia E.

Spikernels: predicting arm movements by embedding population spike rate patterns in inner-product spaces

Neural Comput. 2005 Mar;17(3):671-90. (2005)

Shpigelman, L. Crammer K., Paz, R., Vaadia E. And Singer Y

A Temporal Kernel-Based Model for Tracking Hand-Movements from Neural Activities

Neural Information Processing Systems (NIPS) (2004)

Morris G, Arkadir D, Nevet A, Vaadia E, Bergman H.

Coincident but distinct messages of midbrain dopamine and striatal tonically active neurons

Neuron. 43(1):133-43. (2004)

Mehring C, Nawrot MP, de Oliveira SC, Vaadia E, Schulze-Bonhage A, Aertsen A, Ball T.

Comparing information about arm movement direction in single channels of local and epicortical field potentials from monkey and human motor cortex

J Physiol Paris. 2004 Jul-Nov;98(4-6):498-506. (2004)

Bar-Gad I, Elias S, Vaadia E, Bergman H.

Complex locking rather than complete cessation of neuronal activity in the globus pallidus of a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-treated primate in response to pallidal microstimulation

J Neurosci. 2004 Aug 18;24(33):7410-9. (2004)

Arkadir D, Morris G, Vaadia E, Bergman H.

Independent coding of movement direction and reward prediction by single pallidal neurons

J Neurosci. 2004 Nov 10;24(45):10047-56. (2004)

Rony Paz, Eilon Vaadia

Learning-induced improvement in encoding and decoding of specific movement directions by neurons in the primary motor cortex

PLoS Biol. 2004 Feb; 2(2): e45. (2004)

Paz R, Vaadia E.

Specificity of sensorimotor learning and the neural code: neuronal representations in the primary motor cortex

J Physiol Paris. 2004 Jul-Nov;98(4-6):331-48. (2004)

Goldberg JA, Rokni U, Boraud T, Vaadia E, Bergman H.

Spike synchronization in the cortex/basal-ganglia networks of Parkinsonian primates reflects global dynamics of the local field potentials

J Neurosci. 2004 Jun 30;24(26):6003-10. (2004)

Rony Paz, Steven P Wise, Eilon Vaadia

Viewing and doing: similar cortical mechanisms for perceptual and motor learning

Trends in Neurosciences Volume 27, Issue 8, 1 August 2004, Pages 496-503 (2004)

Uri Rokni; Orna Steinberg; Eilon Vaadia; Haim Sompolinsky

Cortical representation of bimanual movements

J Neurosci. 2003 Dec 17;23(37):11577-86. (2003)

Mehring C., Rickert J., Vaadia E., Cardoso de Oliveira S., Aertsen A., Rotter S

Hints for a topographic map of tuning properties in primate motor cortex

1st International IEEE EMBS Special Topic Conference on Neural Engineering (2003)

Mehring C, Rickert J, Vaadia E, Cardosa de Oliveira S, Aertsen A, Rotter S.

Inference of hand movements from local field potentials in monkey motor cortex

Nat Neurosci. 2003 Dec;6(12):1253-4. Epub 2003 Nov 21. (2003)

Paz R, Boraud T, Natan C, Bergman H, Vaadia E.

Preparatory activity in motor cortex reflects learning of local visuomotor skills

Nat Neurosci. 2003 Aug;6(8):882-90. (2003)

Goldberg JA, Boraud T, Maraton S, Haber SN, Vaadia E, Bergman H.

Enhanced synchrony among primary motor cortex neurons in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine primate model of Parkinson’s disease

J Neurosci. 2002 Jun 1;22(11):4639-53. (2002)

Steinberg O, Donchin O, Gribova A, Cardosa de Oliveira S, Bergman H, Vaadia E.

Neuronal populations in primary motor cortex encode bimanual arm movements

Eur J Neurosci. 2002 Apr;15(8):1371-80. (2002)

Donchin O, Gribova A, Steinberg O, Mitz AR, Bergman H, Vaadia E.

Single-unit activity related to bimanual arm movements in the primary and supplementary motor cortices

J Neurophysiol. 2002 Dec;88(6):3498-517. (2002)

A. Gribova, O. Donchin, H. Bergman, E. Vaadia, S. Cardoso de Oliveira

Timing of bimanual movements in human and non-human primates in relation to neuronal activity in primary motor cortex and supplementary motor area

Experimental Brain Research October 2002, Volume 146, Issue 3, pp 322–335 (2002)

Raz A, Frechter-Mazar V, Feingold A, Abeles M, Vaadia E, Bergman H.

Activity of pallidal and striatal tonically active neurons is correlated in mptp-treated monkeys but not in normal monkeys

J Neurosci. 2001 Feb 1;21(3):RC128. (2001)

Bar-Gad I, Ritov Y, Vaadia E, Bergman H.

Failure in identification of overlapping spikes from multiple neuron activity causes artificial correlations

J Neurosci Methods. 2001 May 30;107(1-2):1-13. (2001)

O. Donchin, A. Gribova, O. Steinberg, H. Bergman, Cardoso S. de Oliveira, E. Vaadia

Local field potentials related to bimanual movements in the primary and supplementary motor cortices

Experimental Brain Research 140(1):46-55 (2001)

Cardoso de Oliveira S, Gribova A, Donchin O, Bergman H, Vaadia E.

Neural interactions between motor cortical hemispheres during bimanual and unimanual arm movements

Eur J Neurosci. 2001 Dec;14(11):1881-96. (2001)

Vaadia E.

Cognitive neuroscience. Learning how the brain learns

Nature. 2000 Jun 1;405(6786):523-5. (2000)

Raz A, Vaadia E, Bergman H.

Firing patterns and correlations of spontaneous discharge of pallidal neurons in the normal and tremulous MPTP Vervet model of Parkinsonism

J Neurosci. 20(22):8559-71. (2000)

Martignon L, Deco G, Laskey K, Diamond M, Freiwald W, Vaadia E.

Neural coding: higher-order temporal patterns in the neurostatistics of cell assemblies

Neural Comput. 2000 Nov;12(11):2621-53. (2000)

Slovin H, Abeles M, Vaadia E, Haalman I, Prut Y, Bergman H.

Frontal cognitive impairments and saccadic deficits in low-dose MPTP-treated monkeys

J Neurophysiol. 1999 Feb;81(2):858-74. (1999)

Donchin O, de Oliveira SC, Vaadia E.

Who tells one hand what the other is doing: the neurophysiology of bimanual movements

Neuron. 1999 May;23(1):15-8. (1999)

Prut Y, Vaadia E, Bergman H, Haalman I, Slovin H, Abeles M.

Spatiotemporal structure of cortical activity: properties and behavioral relevance

J Neurophysiol. 1998 Jun;79(6):2857-74. (1998)

Haalman I, Vaadia E.

Emergence of spatio-temporal patterns in neuronal activity

Z Naturforsch C. 1998 Jul-Aug;53(7-8):657-69. (1998)

Reimann S, Fuster JM, Gierer A, Mayer-Kress G, Neumann T, Roelfsema P, Rotter S, Schöner G, Stephan A, Vaadia E, Walter H.

Functionally Distinct NMDA Receptors Mediate Horizontal Connectivity within Layer 4 of Mouse Barrel Cortex

Z Naturforsch C. 1998 Jul-Aug;53(7-8):770-4. (1998)

Reimann S, Fuster JM, Gierer A, Mayer-Kress G, Neumann T, Roelfsema P, Rotter S, Schöner G, Stephan A, Vaadia E, Walter H.

Group report: emergent properties of natural and artificial systems

Z Naturforsch C. 1998 Jul-Aug;53(7-8):770-4. (1998)

Ehud Ahissar, Moshe Abeles, Merav Ahissar, Sebastian Haidarliu, Eilon Vaadia

Hebbian-like functional plasticity in the auditory cortex of the behaving monkey

Neuropharmacology 37(4-5):633-55 (1998)

Bergman H, Feingold A, Nini A, Raz A, Slovin H, Abeles M, Vaadia E.

Physiological aspects of information processing in the basal ganglia of normal and parkinsonian primates

Trends Neurosci. 1998 Jan;21(1):32-8. (1998)

Donchin O, Gribova A, Steinberg O, Bergman H, Vaadia E.

Primary motor cortex is involved in bimanual coordination

Nature. 1998 Sep 17;395(6699):274-8. (1998)

Haalman I, Vaadia E.

Dynamics of neuronal interactions: relation to behavior, firing rates, and distance between neurons

Hum Brain Mapp. 1997;5(4):249-53. (1997)

Martignon L., Lasky K., Deco, G. and Vaadia E

Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings

MIT Press, vol. 9, pp: 76-81 (1997)

Raz A, Feingold A, Zelanskaya V, Vaadia E, Bergman H.

Neuronal synchronization of tonically active neurons in the striatum of normal and Parkinsonian primates

J Neurophysiol; 76(3):2083-8. (1996J Neurophysiol; 76(3):2083-8.)

Seidemann E, Meilijson I, Abeles M, Bergman H, Vaadia E.

Simultaneously recorded single units in the frontal cortex go through sequences of discrete and stable states in monkeys performing a delayed localization task

J Neurosci. 1996 Jan 15;16(2):752-68. (1996)

Vaadia E, Aertsen A, Nelken I.

‘Dynamics of neuronal interactions’ cannot be explained by ‘neuronal transients’

Proc Biol Sci. 1995 Sep 22;261(1362):407-10. (1995)

Abeles M, Bergman H, Gat I, Meilijson I, Seidemann E, Tishby N, Vaadia E.

Cortical activity flips among quasi-stationary states

Proc Natl Acad Sci U S A. 1995 Sep 12;92(19):8616-20. (1995)

Vaadia E, Haalman I, Abeles M, Bergman H, Prut Y, Slovin H, Aertsen A.

Dynamics of neuronal interactions in monkey cortex in relation to behavioural events

Nature. 1995 Feb 9;373(6514):515-8. (1995)

Nelken I, Prut Y, Vaadia E, Abeles M.

In search of the best stimulus: an optimization procedure for finding efficient stimuli in the cat auditory cortex

Hear Res. 1994 Jan;72(1-2):237-53. (1994)

Nelken I, Prut Y, Vaadia E, Abeles M.

Population responses to multifrequency sounds in the cat auditory cortex: one- and two-parameter families of sounds

Hear Res. 1994 Jan;72(1-2):206-22. (1994)

Abeles M, Prut Y, Bergman H, Vaadia E.

Synchronization in neuronal transmission and its importance for information processing

Prog Brain Res. 1994;102:395-404. (1994)

Abeles M, Bergman H, Margalit E, Vaadia E.

Spatiotemporal firing patterns in the frontal cortex of behaving monkeys

J Neurophysiol. 1993 Oct;70(4):1629-38. (1993)

Ahissar E, Vaadia E, Ahissar M, Bergman H, Arieli A, Abeles M.

Dependence of cortical plasticity on correlated activity of single neurons and on behavioral context

Science. 1992 Sep 4;257(5075):1412-5. (1992)

Ahissar M, Ahissar E, Bergman H, Vaadia E.

Encoding of sound-source location and movement: activity of single neurons and interactions between adjacent neurons in the monkey auditory cortex

J Neurophysiol. 1992 Jan;67(1):203-15. (1992)

Aertsen A, Vaadia E, Abeles M, Ahissar E, Bergman H, Karmon B, Lavner Y, Margalit E, Nelken I, Rotter S.

Neural interactions in the frontal cortex of a behaving monkey: signs of dependence on stimulus context and behavioral state

J Hirnforsch. 1991;32(6):735-43. (1991)

Nelken I, Vaadia E.

A sensitive estimator for crosscorrelograms

Biol Cybern. 1990;64(1):51-60. (1990)

Ahissar E, Vaadia E.

Oscillatory activity of single units in a somatosensory cortex of an awake monkey and their possible role in texture analysis

Proc Natl Acad Sci U S A. 1990 Nov;87(22):8935-9. (1990)

Vaadia E, Bergman H, Abeles M.

Neuronal activities related to higher brain functions–theoretical and experimental implications

IEEE Trans Biomed Eng. 1989 Jan;36(1):25-35. (1989)

Gottlieb Y, Vaadia E, Abeles M.

Single unit activity in the auditory cortex of a monkey performing a short term memory task

Exp Brain Res. 1989;74(1):139-48. (1989)

Vaadia E.

Single-unit activity related to active localization of acoustic and visual stimuli in the frontal cortex of the rhesus monkey

Brain Behav Evol. 1989;33(2-3):127-31. (1989)

Vaadia E, Kurata K, Wise SP.

Neuronal activity preceding directional and nondirectional cues in the premotor cortex of rhesus monkeys

Somatosens Mot Res. 1988;6(2):207-30. (1988)

Vaadia E, Abeles M.

Temporal firing patterns of single units, pairs and triplets of units in the auditory cortex

Isr J Med Sci. 1987 Jan-Feb;23(1-2):75-83. (1987)

Vaadia E, Benson DA, Hienz RD, Goldstein MH Jr.

Unit study of monkey frontal cortex: active localization of auditory and of visual stimuli

J Neurophysiol. 1986 Oct;56(4):934-52. (1986)

Frostig RD, Gottlieb Y, Vaadia E, Abeles M.

The effects of stimuli on the activity and functional connectivity of local neuronal groups in the cat auditory cortex

Brain Res. 1983 Aug 8;272(2):211-21. (1983)

Vaadia E, Gottlieb Y, Abeles M.

Single-unit activity related to sensorimotor association in auditory cortex of a monkey

J Neurophysiol. 1982 Nov;48(5):1201-13. (1982)

At this time there are no available positions in the lab.
Envelope Phone-alt

Eilon Vaadia

Professor Emeritus

Email: eilon.vaadia@elsc.huji.ac.il
Eilon Vaadia
@eilon_vaadia
Address: The Edmond and Lily Safra Center for Brain Sciences
The Suzanne and Charles Goodman Brain Sciences Building,
Level 2, Room 1205, Edmond J. Safra Campus,
The Hebrew University of Jerusalem, 9190401
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.