David Lipshutz

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 23

Top Topics

Synaptic Plasticity

Canonical Correlation Analysis

Biologically Plausible

Top Venues

Math. Oper. Res.

Publications

Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii
Neuronal Temporal Filters as Normal Mode Extractors. CoRR (2024)
Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz
Adaptive whitening with fast gain modulation and slow synaptic plasticity. CoRR (2023)
Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli
Statistical whitening of neural populations with gain-modulating interneurons. CoRR (2023)
Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii
An Online Algorithm for Contrastive Principal Component Analysis. ICASSP (2023)
Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli
Adaptive Whitening in Neural Populations with Gain-modulating Interneurons. ICML (2023)
Lyndon R. Duong, Eero Simoncelli, Dmitri B. Chklovskii, David Lipshutz
Adaptive whitening with fast gain modulation and slow synaptic plasticity. NeurIPS (2023)
David Lipshutz, Aneesh Kashalikar, Shiva Farashahi, Dmitri B. Chklovskii
A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment. PLoS Comput. Biol. 19 (2) (2023)
David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity. CoRR (2023)
David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. ICLR (2023)
David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
Biologically plausible single-layer networks for nonnegative independent component analysis. Biol. Cybern. 116 (5) (2022)
Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri B. Chklovskii
Biological Learning of Irreducible Representations of Commuting Transformations. NeurIPS (2022)
Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii
An online algorithm for contrastive Principal Component Analysis. CoRR (2022)
David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. CoRR (2022)
Rami Atar, David Lipshutz
Heavy Traffic Limits for Join-the-Shortest-Estimated-Queue Policy Using Delayed Information. Math. Oper. Res. 46 (1) (2021)
David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis. Neural Comput. 33 (9) (2021)
David Lipshutz, Kavita Ramanan
Sensitivity Analysis for the Stationary Distribution of Reflected Brownian Motion in a Convex Polyhedral Cone. Math. Oper. Res. 46 (2) (2021)
David Lipshutz, Charlie Windolf, Siavash Golkar, Dmitri B. Chklovskii
A biologically plausible neural network for Slow Feature Analysis. CoRR (2020)
David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
A biologically plausible neural network for multi-channel Canonical Correlation Analysis. CoRR (2020)
David Lipshutz, Charles Windolf, Siavash Golkar, Dmitri B. Chklovskii
A Biologically Plausible Neural Network for Slow Feature Analysis. NeurIPS (2020)
David Lipshutz, Dmitri B. Chklovskii
Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis. CoRR (2020)
Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
A biologically plausible neural network for local supervision in cortical microcircuits. CoRR (2020)
Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
A simple normative network approximates local non-Hebbian learning in the cortex. NeurIPS (2020)
Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
A simple normative network approximates local non-Hebbian learning in the cortex. CoRR (2020)
David Lipshutz, Ruth J. Williams
Existence, Uniqueness, and Stability of Slowly Oscillating Periodic Solutions for Delay Differential Equations with Nonnegativity Constraints. SIAM J. Math. Anal. 47 (6) (2015)