Naftali Tishby Lab

ELSC Members

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

Naftali Tishby

Professor

Phone: +972-2-5494569
Fax: +972-2-54-94569
Mobile: +972-525-274698
Address: The Edmond and Lily Safra Center for Brain Sciences
The Suzanne and Charles Goodman Brain Sciences Building,
Level 2, Room 1206, Edmond J. Safra Campus,
The Hebrew University of Jerusalem, 9190401
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

ELSC-Seminars-General
Gal Chechik
Jonathan Rubin, Nahum Ulinovsky, Israel Nelken and Naftali Tishby

PLoS Comput Biol 12(8) e1005058 (2016)

Nori Jacoby, Naftali Tishby, and Dmitri Tymoczko

Journal of New Music Research Volume 44, 2015 – Issue 3 (2015)

Nori Jacoby, Peter E. Keller, Bruno H. Repp, Naftali Tishby, Merav Ahissar

Timing & Time Perception, Volume 3: Issue 1-2 (2015)

Nori Jacoby, Naftali Tishby, Bruno H. Repp, Merav Ahissar and Peter E. Keller

Timing & Time Perception, Volume 3: Issue 1-2 (2015)

S. Sabato, N. Srebro and N. Tishby

Journal of Machine Learning Research, 14(Jul):2119-2149 (2013)

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

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

Chechik G, Anderson MJ, Bar-Yosef O, Young ED, Tishby N, Nelken I.

Neuron. 2006 Aug 3;51(3):359-68. (2006)

Israel Nelken, Nachum Ulanovsky, Liora Las, Omer Bar-Yosef, Michael Anderson, Gal Chechik, Naftali Tishby, Eric D. Young

Auditory Signal Processing pp 264-273 (2003)

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

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

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

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

Seung HS, Sompolinsky H, Tishby N.

Phys. Rev. A 45, 6056 – Published 1 April 1992 (1992)

H. Sompolinsky, N. Tishby, and H. S. Seung

Phys. Rev. Lett. 65, 1683 – Published 24 September 1990 (1990)

H. Sompolinsky and N. Tishby

Europhysics Letters 13, 567 (1990)

At this time there are no available positions in the lab.
Honors:
The Ruth and Stan Flinkman professor of Brain Research

Website:
Lab website

Naftali Tishby

Professor

Phone: +972-2-5494569
Fax: +972-2-54-94569
Mobile: +972-525-274698
Address: The Edmond and Lily Safra Center for Brain Sciences
The Suzanne and Charles Goodman Brain Sciences Building,
Level 2, Room 1206, Edmond J. Safra Campus,
The Hebrew University of Jerusalem, 9190401

Winners announced for the ELSC photography competition