Omri Barak

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 14

Top Topics

Memory Capacity

Recurrent Neural Networks

Top Venues

PLoS Comput. Biol.

Publications

Chen Beer, Omri Barak
Revealing and reshaping attractor dynamics in large networks of cortical neurons. PLoS Comput. Biol. 20 (1) (2024)
Kabir V. Dabholkar, Omri Barak
When predict can also explain: few-shot prediction to select better neural latents. CoRR (2024)
Matthijs Pals, Jakob H. Macke, Omri Barak
Trained recurrent neural networks develop phase-locked limit cycles in a working memory task. PLoS Comput. Biol. 20 (2) (2024)
Elia Turner, Omri Barak
The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation. NeurIPS (2023)
Omri Barak, Sandro Romani
Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework. Neural Comput. 33 (3) (2021)
Elia Turner, Kabir V. Dabholkar, Omri Barak
Charting and Navigating the Space of Solutions for Recurrent Neural Networks. NeurIPS (2021)
Tie Xu, Omri Barak
Implementing Inductive bias for different navigation tasks through diverse RNN attrractors. ICLR (2020)
Friedrich Schüßler, Francesca Mastrogiuseppe, Alexis M. Dubreuil, Srdjan Ostojic, Omri Barak
The interplay between randomness and structure during learning in RNNs. NeurIPS (2020)
Alexander Rivkind, Hallel Schreier, Naama Brenner, Omri Barak
Scale free topology as an effective feedback system. PLoS Comput. Biol. 16 (5) (2020)
Doron Haviv, Alexander Rivkind, Omri Barak
Understanding and Controlling Memory in Recurrent Neural Networks. CoRR (2019)
Tomoki Kurikawa, Omri Barak, Kunihiko Kaneko
Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network. CoRR (2019)
Chen Beer, Omri Barak
One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks. Neural Comput. 31 (10) (2019)
Doron Haviv, Alexander Rivkind, Omri Barak
Understanding and Controlling Memory in Recurrent Neural Networks. ICML (2019)
Oded Barzelay, Miriam Furst, Omri Barak
A New Approach to Model Pitch Perception Using Sparse Coding. PLoS Comput. Biol. 13 (1) (2017)
Mattia Rigotti, Omri Barak, Melissa R. Warden, Xiao-Jing Wang, Nathaniel D. Daw, Earl K. Miller, Stefano Fusi
The importance of mixed selectivity in complex cognitive tasks. Nat. 497 (7451) (2013)
David Sussillo, Omri Barak
Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks. Neural Comput. 25 (3) (2013)
Omri Barak, Mattia Rigotti
A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition. Neural Comput. 23 (8) (2011)
Ofer Melamed, Omri Barak, Gilad Silberberg, Henry Markram, Misha Tsodyks
Slow oscillations in neural networks with facilitating synapses. J. Comput. Neurosci. 25 (2) (2008)
Omri Barak, Misha Tsodyks
Persistent Activity in Neural Networks with Dynamic Synapses. PLoS Comput. Biol. 3 (2) (2007)
Omri Barak, Misha Tsodyks
Correction: Persistent Activity in Neural Networks with Dynamic Synapses. PLoS Comput. Biol. 3 (5) (2007)
Omri Barak, Misha Tsodyks
Recognition by Variance: Learning Rules for Spatiotemporal Patterns. Neural Comput. 18 (10) (2006)