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2020 – today
- 2024
[j13]Chen Beer
, Omri Barak:
Revealing and reshaping attractor dynamics in large networks of cortical neurons. PLoS Comput. Biol. 20(1) (2024)- [j12]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) - [i3]Kabir V. Dabholkar, Omri Barak:
When predict can also explain: few-shot prediction to select better neural latents. CoRR abs/2405.14425 (2024) - 2023
- [c5]Elia Turner, Omri Barak:
The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation. NeurIPS 2023 - 2021
- [j11]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): 827-852 (2021) - [c4]Elia Turner, Kabir V. Dabholkar, Omri Barak:
Charting and Navigating the Space of Solutions for Recurrent Neural Networks. NeurIPS 2021: 25320-25333 - 2020
- [j10]Alexander Rivkind, Hallel Schreier, Naama Brenner, Omri Barak:
Scale free topology as an effective feedback system. PLoS Comput. Biol. 16(5) (2020) - [c3]Tie Xu, Omri Barak:
Implementing Inductive bias for different navigation tasks through diverse RNN attrractors. ICLR 2020 - [c2]Friedrich Schüßler, Francesca Mastrogiuseppe, Alexis M. Dubreuil, Srdjan Ostojic, Omri Barak:
The interplay between randomness and structure during learning in RNNs. NeurIPS 2020
2010 – 2019
- 2019
- [j9]Chen Beer, Omri Barak:
One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks. Neural Comput. 31(10): 1985-2003 (2019) - [c1]Doron Haviv, Alexander Rivkind, Omri Barak:
Understanding and Controlling Memory in Recurrent Neural Networks. ICML 2019: 2663-2671 - [i2]Doron Haviv, Alexander Rivkind, Omri Barak:
Understanding and Controlling Memory in Recurrent Neural Networks. CoRR abs/1902.07275 (2019) - [i1]Tomoki Kurikawa, Omri Barak, Kunihiko Kaneko:
Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network. CoRR abs/1906.11770 (2019) - 2017
- [j8]Oded Barzelay, Miriam Furst, Omri Barak:
A New Approach to Model Pitch Perception Using Sparse Coding. PLoS Comput. Biol. 13(1) (2017) - 2013
- [j7]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): 585-590 (2013) - [j6]David Sussillo, Omri Barak:
Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks. Neural Comput. 25(3): 626-649 (2013) - 2011
- [j5]Omri Barak, Mattia Rigotti:
A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition. Neural Comput. 23(8): 1935-1943 (2011)
2000 – 2009
- 2008
- [j4]Ofer Melamed, Omri Barak, Gilad Silberberg, Henry Markram, Misha Tsodyks:
Slow oscillations in neural networks with facilitating synapses. J. Comput. Neurosci. 25(2): 308-316 (2008) - 2007
- [j3]Omri Barak, Misha Tsodyks:
Persistent Activity in Neural Networks with Dynamic Synapses. PLoS Comput. Biol. 3(2) (2007) - [j2]Omri Barak, Misha Tsodyks:
Correction: Persistent Activity in Neural Networks with Dynamic Synapses. PLoS Comput. Biol. 3(5) (2007) - 2006
- [j1]Omri Barak, Misha Tsodyks:
Recognition by Variance: Learning Rules for Spatiotemporal Patterns. Neural Comput. 18(10): 2343-2358 (2006)
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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