Omri Barak

According to our database, Omri Barak authored at least 24 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Learning reveals invisible structure in low-rank RNNs.

Yoav Ger, Omri Barak

CoRR, May, 2026

2025

Multi-step Predictive Coding Leads To Simplicity Bias.

Aviv Ratzon, Omri Barak

CoRR, November, 2025

Learning Dynamics of RNNs in Closed-Loop Environments.

Yoav Ger, Omri Barak

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions.

Kabir V. Dabholkar, Omri Barak

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Trained recurrent neural networks develop phase-locked limit cycles in a working memory task.

Matthijs Pals, Jakob H. Macke, Omri Barak

PLoS Comput. Biol., February, 2024

Revealing and reshaping attractor dynamics in large networks of cortical neurons.

Chen Beer, Omri Barak

PLoS Comput. Biol., January, 2024

When predict can also explain: few-shot prediction to select better neural latents.

Kabir V. Dabholkar, Omri Barak

CoRR, 2024

2023

The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation.

Elia Turner, Omri Barak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework.

Omri Barak, Sandro Romani

Neural Comput., 2021

Charting and Navigating the Space of Solutions for Recurrent Neural Networks.

Elia Turner, Kabir V. Dabholkar, Omri Barak

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Scale free topology as an effective feedback system.

Alexander Rivkind, Hallel Schreier, Naama Brenner, Omri Barak

PLoS Comput. Biol., 2020

The interplay between randomness and structure during learning in RNNs.

Friedrich Schüßler, Francesca Mastrogiuseppe, Alexis M. Dubreuil, Srdjan Ostojic, Omri Barak

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Implementing Inductive bias for different navigation tasks through diverse RNN attrractors.

Tie Xu, Omri Barak

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks.

Chen Beer, Omri Barak

Neural Comput., 2019

Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network.

Tomoki Kurikawa, Omri Barak, Kunihiko Kaneko

CoRR, 2019

Understanding and Controlling Memory in Recurrent Neural Networks.

Doron Haviv, Alexander Rivkind, Omri Barak

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

A New Approach to Model Pitch Perception Using Sparse Coding.

Oded Barzelay, Miriam Furst, Omri Barak

PLoS Comput. Biol., 2017

2013

Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks.

David Sussillo, Omri Barak

Neural Comput., 2013

The importance of mixed selectivity in complex cognitive tasks.

Mattia Rigotti, Omri Barak, Melissa R. Warden, Xiao-Jing Wang, Nathaniel D. Daw, Earl K. Miller, Stefano Fusi

Nat., 2013

2011

A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition.

Omri Barak, Mattia Rigotti

Neural Comput., 2011

2008

Slow oscillations in neural networks with facilitating synapses.

Ofer Melamed, Omri Barak, Gilad Silberberg, Henry Markram, Misha Tsodyks

J. Comput. Neurosci., 2008

2007

Correction: Persistent Activity in Neural Networks with Dynamic Synapses.

Omri Barak, Misha Tsodyks

PLoS Comput. Biol., 2007

Persistent Activity in Neural Networks with Dynamic Synapses.

Omri Barak, Misha Tsodyks

PLoS Comput. Biol., 2007

2006

Recognition by Variance: Learning Rules for Spatiotemporal Patterns.

Omri Barak, Misha Tsodyks

Neural Comput., 2006