[Naftali Tishby]Naftali (Tali) Tishby נפתלי תשבי     

Director, Interdisciplinary Center for Neural Computation                                        
The Ruth and Stan Flinkman Family Chair in Brain Research                                              
The Edmond and Lily Safra Center for Brain Sciences

Co-PI, Intel Collaborative Research Institute for Computational Intelligence                      
The Suadrsky Center for Computational Biology                                             

Professor, School of Engineering and Computer Science                               
The Hebrew University ,  Jerusalem, Israel

ICNC administartor: Ruthi Suchi,   Tel: +972-2-658-4899, Fax: +972-2-658-6152, Email:icnc@alice.nc.huji.ac.il

Email: tishby@cs.huji.ac.il Office Phone + Fax: +972-2-54-94569

  Office Hours: Ross 214. Sunday, 14:00-15:00 by appointment.                        Short Bio                 CV            Publications


כתבות והרצאות לציבור הרחב:

*     Madua 2007 הרצאת "מדוע" (13.11.2005)   , הרצאה על השפה והמוח  , בגובה העיניים עם פרופסור נפתלי תשבי ,   כתבה מ-2003 ב'הארץ',

*     ראיון עם מרית סלבין ל"מוסף הארץ" מיולי  2007. הבהרה: הראיון ניתן בעקבות פנייה של "הארץ" לצורך סדרת כתבות על "התייחסות המדע למוות ולמושג חיי-נצח". אין זה נושא שאני עוסק בו ישירות ואין באוניברסיטה העברית מחקרים בנושא. עם זאת, הרעיונות בראיון מבוססים על הרחבות עתידיות אפשריות עקרונית של טכנולוגיות שונות המתפתחות במהירות בחקר המוח ובלמידה חישובית. Also in English   


*    To put things in the right proportion… The Astro picture of the day

*    “Real progress does not come from new answers to old questions, but from entirely different questions…”

*    Judge of a man by his questions rather than by his answers.  Voltaire
 French author, humanist, rationalist, & satirist (1694 - 1778)


 Machine Learning and Computational Biophysics

The interface between computer science, physics, and biology 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.

The Machine Learning Lab

The learning club

Ross building, rooms 59-63, phone: +972-2-65-85775


Recently Organized workshops and conferences:

·       From ICNC to ELSC – 20 years of Computational Neuroscience in Jerusalem, Nov. 2012

·       NATO Science-for-Peace Workshop on Machine Learning for Security – ICNC Jerusalem, 2011

·       NIPS 2008 Workshop and Mini-Symposium: Principled Theoretical Frameworks for the Perception-Action Cycle  

·       Hebrew University Institute for Advance Studies program: From Neurons to Cognition 2007-2008 

·       NATO Advance Study Institute workshop on: Mining Massive Data Sets for Security 

·       NIPS 2006 Workshop: Revealing Hidden Elements of Dynamical Systems 

·       NIPS 2005 Workshop: Theoretical Foundations of Clustering

·       NIPS 2003 Workshop: The Information Bottleneck Method  


·       Selected publications online

·       Complete Ph.D. and M.Sc. theses done in my lab.

·       Projects: NATO SfP, DARPA MSEE, ISF Center of Excellence, Intel ICRI-CI

·       Recent talks

Current students and lab members:

·       Jonathan Rubin (Co-advisor: Eli Nelken)

·       Sivan Sabato

·       Asaf Gal (Co-advisor: Shimon Marom)

·       Nori Jacoby (Co-advisor: Merav Ahissar)

·       Roy Fox

·       Ron Hecht (MSc 2007)

·       Hadar Levi


Past students and postdocs:

·       Ohad Shamir (PhD 2010)

·       Yuval Tassa (PhD 2010, Co-advisor: Emo Todorov)

·       Uri Heinemann (MSc 2009)

·       Dan Rosenbaum (MSc 2010)

·       Naama Parush (PhD 2009. Co-advisor: Hagai Bergman)

·       Yevgeny Seldin (PhD 2009, MSc. 2002)

·       Roi Weiss (MSc 2007)

·       Eyal Krupka (PhD 2008)

·       Meital Rabani (MSc 2007)

·       Hani Neuvirth (Co-advisor: Gideon Schreiber)

·       Amir Navot  (PhD 2006)

·       Ran Gilad-Bachrach  (PhD 2005)

·       Amir Globerson. (PhD 2005) (Co-advisor: Eilon Vaadia)

·       Yaki Engel (PhD 2005) (Advisor: Ron Meir)

·       Shmuel Brody (MSc 2005)

·       Amit Rosner (Co-advisor: Udi Shapiro)

·       Gill Bejerano (PhD 2003. Co-advisor: Hanah Margalit)

·       Gal Chechik (PhD 2003. Co-advisor: Eli Nelken)

·       Noam Slonim (PhD 2002)

·       Elad Schneidman (PhD 2001. Co-advisor: Idan Segev)

·       Adi Schreibman (MSc 2000)

·       Shai Fine  (MSc 1996, PhD 1999)

·       Itay Gat  (MSc 1995, PhD 1999. Co-advisor: Moshe Abeles)

·       Golan Yona (PhD 1998. Co-advisors: Nati & Michal Linial)

·       Lidror Troyansky (PhD 1997)

·       Shlomo Dubnov (PhD 1996. Co-advisor: Dalia Cohen)

·       Dana Ron (PhD 1995)

·       Yoram Singer (PhD 1995)

·       Tzvika Svinik (MSc 1994)

·       Ran El-Yaniv (Post Doc 1996-98)

·       Shahar Mendelson (Post Doc 1999)

·       Jan Stiller (Post Doc 2000)

·       Michal Rosen-Zvi (IBM, PostDoc 2004-2005)

 


My Courses:

·       New: Music and Brain, 76939 (Roni Granot, Naphtali Wagner, Israel Nelken, Naftali Tishby, Nori Jacoby. Fall 2009).

·       Introduction to Linear Systems, 67310 (Tal El-Hai, spring 2010).

·       Principled models of Perception-Action-Cycles 76911 (Spring 2009).

·       Machine learning seminar 67168 (2009-10).

·       Dynamical Systems and Control, 76929 (Fall 2009).  

·       Introduction to Information Processing and Learning, 76915 (Ben Engelhard, Spring 2008).

·       Intro to Information Theory 67548 (Talya Meltzer, spring 2006)

·       Statistical and Computational Learning Theory, 67583 (Ofer Dekel, spring 2006).

·       Workshop in Neural Coding (For ICNC students – with data) 76928.

·       The learning club


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