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Dive into the research topics where Elad Eban is active.

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Featured researches published by Elad Eban.


Nature Neuroscience | 2017

A cortical-hippocampal-cortical loop of information processing during memory consolidation

Gideon Rothschild; Elad Eban; Loren M. Frank

Hippocampal replay during sharp-wave ripple events (SWRs) is thought to drive memory consolidation in hippocampal and cortical circuits. Changes in neocortical activity can precede SWR events, but whether and how these changes influence the content of replay remains unknown. Here we show that during sleep there is a rapid cortical–hippocampal–cortical loop of information flow around the times of SWRs. We recorded neural activity in auditory cortex (AC) and hippocampus of rats as they learned a sound-guided task and during sleep. We found that patterned activation in AC precedes and predicts the subsequent content of hippocampal activity during SWRs, while hippocampal patterns during SWRs predict subsequent AC activity. Delivering sounds during sleep biased AC activity patterns, and sound-biased AC patterns predicted subsequent hippocampal activity. These findings suggest that activation of specific cortical representations during sleep influences the identity of the memories that are consolidated into long-term stores.


international conference on supercomputing | 2010

Interactive Proofs For Quantum Computations

Dorit Aharonov; Michael Ben-Or; Elad Eban


arXiv: Quantum Physics | 2007

Polynomial Quantum Algorithms for Additive approximations of the Potts model and other Points of the Tutte Plane

Dorit Aharonov; Itai Arad; Elad Eban; Zeph Landau


international conference on machine learning | 2014

Discrete Chebyshev Classifiers

Elad Eban; Elad Mezuman; Amir Globerson


international conference on machine learning | 2012

Learning the Experts for Online Sequence Prediction

Elad Eban; Aharon Birnbaum; Shai Shalev-Shwartz; Amir Globerson


international conference on artificial intelligence and statistics | 2016

Scalable Learning of Non-Decomposable Objectives

Elad Eban; Mariano Schain; Alan Mackey; Ariel Gordon; Rif A. Saurous


uncertainty in artificial intelligence | 2013

Learning max-margin tree predictors

Ofer Meshi; Elad Eban; Amir Globerson


international conference on artificial intelligence and statistics | 2016

Improper Deep Kernels

Uri Heinemann; Roi Livni; Elad Eban; Amir Globerson


computer vision and pattern recognition | 2018

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

Ariel Gordon; Elad Eban; Ofir Nachum; Bo Chen; Hao Wu; Tien-Ju Yang; Edward Choi


arXiv: Machine Learning | 2016

Large-scale Learning With Global Non-Decomposable Objectives

Elad Eban; Mariano Schain; Ariel Gordon; Rif A. Saurous

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Amir Globerson

Hebrew University of Jerusalem

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Dorit Aharonov

Hebrew University of Jerusalem

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Itai Arad

Hebrew University of Jerusalem

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Ofer Meshi

Hebrew University of Jerusalem

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Edward Choi

Georgia Institute of Technology

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