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Kamesh Krishnamurthy
Kamesh Krishnamurthy
CV Starr Fellow & CPBF Fellow, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Arousal-related adjustments of perceptual biases optimize perception in dynamic environments
K Krishnamurthy, MR Nassar, S Sarode, JI Gold
Nature human behaviour 1 (6), 0107, 2017
972017
Coding principles in adaptation
AI Weber, K Krishnamurthy, AL Fairhall
Annual review of vision science 5 (1), 427-449, 2019
902019
Theory of gating in recurrent neural networks
K Krishnamurthy, T Can, DJ Schwab
Physical Review X 12 (1), 011011, 2022
452022
Disorder and the neural representation of complex odors
K Krishnamurthy, AM Hermundstad, T Mora, AM Walczak, ...
Frontiers in Computational Neuroscience 16, 917786, 2022
29*2022
Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs
T Can, K Krishnamurthy, DJ Schwab
Mathematical and Scientific Machine Learning, 2020
202020
The relational bottleneck as an inductive bias for efficient abstraction
TW Webb, SM Frankland, A Altabaa, S Segert, K Krishnamurthy, ...
Trends in Cognitive Sciences, 2024
182024
Exchanging third-party information in a network
DJ Love, BM Hochwald, K Krishnamurthy
UCSD Information Theory and Applications Workshop, 2007
72007
Trainability, Expressivity and Interpretability in Gated Neural ODEs
TD Kim, T Can, K Krishnamurthy
International Conference on Machine Learning, 2023
52023
Emergence of memory manifolds
T Can, K Krishnamurthy
arXiv preprint arXiv:2109.03879, 2021
52021
Flow-field inference from neural data using deep recurrent networks
TD Kim, TZ Luo, T Can, K Krishnamurthy, JW Pillow, CD Brody
bioRxiv, 2023
32023
High-Dimensional Non-Convex Landscapes and Gradient Descent Dynamics
T Bonnaire, D Ghio, K Krishnamurthy, F Mignacco, A Yamamura, G Biroli
arXiv preprint arXiv:2308.03754, 2023
12023
Is There a General Role for the Monkey Oculomotor System in Perceptual Decision-Making?
Y Li, K Krishnamurthy
Journal of Neuroscience 35 (27), 9783-9785, 2015
12015
Robust Memory Manifolds in Neural Networks
T Can, K Krishnamurthy
APS March Meeting Abstracts 2023, M01. 003, 2023
2023
Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs
TD Kim, T Can, K Krishnamurthy
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
2022
Emergence of memory manifolds
K Krishnamurthy, T Can
APS March Meeting Abstracts 2022, G00. 103, 2022
2022
Gated Recurrent Neural Networks 1: marginal stability and line attractors
K Krishnamurthy, T Can, D Schwab
APS March Meeting Abstracts 2021, X16. 007, 2021
2021
Predictive capacity of a dynamical system
K Krishnamurthy, W Bialek, A Frishman, X Chen
APS March Meeting Abstracts 2021, S12. 009, 2021
2021
Gated recurrent neural networks 2: a novel first-order chaotic transition
T Can, K Krishnamurthy, D Schwab
APS March Meeting Abstracts 2021, L08. 002, 2021
2021
Connecting Dynamics and Trainability in Recurrent Neural Networks
T Can, K Krishnamurthy, D Schwab
Bulletin of the American Physical Society 65, 2020
2020
Optimal Adaptation Principles in Neural Systems
K Krishnamurthy
University of Pennsylvania, 2017
2017
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