The information theory of Deep Learning

por Tishby, Naftali
Publicado 2019

Dopaminergic Balance between Reward Maximization and Policy Complexity

por Parush, Naama, Tishby, Naftali, Bergman, Hagai
Publicado 2011

Nonlinear Canonical Correlation Analysis:A Compressed Representation Approach

por Painsky, Amichai, Feder, Meir, Tishby, Naftali
Publicado 2020

A simple model of the attentional blink and its modulation by mental training

por Amir, Nadav, Tishby, Naftali, Nelken, Israel
Publicado 2022

Surprise response as a probe for compressed memory states

por Levi-Aharoni, Hadar, Shriki, Oren, Tishby, Naftali
Publicado 2020

The Representation of Prediction Error in Auditory Cortex

por Rubin, Jonathan, Ulanovsky, Nachum, Nelken, Israel, Tishby, Naftali
Publicado 2016

ProMateus—an open research approach to protein-binding sites analysis

por Neuvirth, Hani, Heinemann, Uri, Birnbaum, David, Tishby, Naftali, Schreiber, Gideon
Publicado 2007

Efficient encoding of motion is mediated by gap junctions in the fly visual system

por Wang, Siwei, Borst, Alexander, Zaslavsky, Noga, Tishby, Naftali, Segev, Idan
Publicado 2017

Value-complexity tradeoff explains mouse navigational learning

por Amir, Nadav, Suliman-Lavie, Reut, Tal, Maayan, Shifman, Sagiv, Tishby, Naftali, Nelken, Israel
Publicado 2020