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ORCIDDavid Lipshutz
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2020 – today
- 2024
[i12]Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii:
Neuronal Temporal Filters as Normal Mode Extractors. CoRR abs/2401.03248 (2024)- [i11]Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli:
Discriminating image representations with principal distortions. CoRR abs/2410.15433 (2024) - 2023
- [j6]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) - [c7]Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii:
An Online Algorithm for Contrastive Principal Component Analysis. ICASSP 2023: 1-5 - [c6]David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii:
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. ICLR 2023 - [c5]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: 8902-8921 - [c4]Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz:
Adaptive whitening with fast gain modulation and slow synaptic plasticity. NeurIPS 2023 - [i10]Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli:
Statistical whitening of neural populations with gain-modulating interneurons. CoRR abs/2301.11955 (2023) - [i9]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 abs/2302.10051 (2023) - [i8]Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz:
Adaptive whitening with fast gain modulation and slow synaptic plasticity. CoRR abs/2308.13633 (2023) - 2022
- [j5]David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii:
Biologically plausible single-layer networks for nonnegative independent component analysis. Biol. Cybern. 116(5): 557-568 (2022) - [c3]Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri B. Chklovskii:
Biological Learning of Irreducible Representations of Commuting Transformations. NeurIPS 2022 - [i7]David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii:
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. CoRR abs/2209.10634 (2022) - [i6]Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii:
An online algorithm for contrastive Principal Component Analysis. CoRR abs/2211.07723 (2022) - 2021
- [j4]Rami Atar, David Lipshutz:
Heavy Traffic Limits for Join-the-Shortest-Estimated-Queue Policy Using Delayed Information. Math. Oper. Res. 46(1): 268-300 (2021) - [j3]David Lipshutz, Kavita Ramanan:
Sensitivity Analysis for the Stationary Distribution of Reflected Brownian Motion in a Convex Polyhedral Cone. Math. Oper. Res. 46(2): 524-558 (2021) - [j2]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): 2309-2352 (2021) - 2020
- [c2]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 - [c1]David Lipshutz, Charles Windolf, Siavash Golkar, Dmitri B. Chklovskii:
A Biologically Plausible Neural Network for Slow Feature Analysis. NeurIPS 2020 - [i5]David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A biologically plausible neural network for multi-channel Canonical Correlation Analysis. CoRR abs/2010.00525 (2020) - [i4]David Lipshutz, Dmitri B. Chklovskii:
Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis. CoRR abs/2010.12632 (2020) - [i3]David Lipshutz, Charlie Windolf, Siavash Golkar, Dmitri B. Chklovskii:
A biologically plausible neural network for Slow Feature Analysis. CoRR abs/2010.12644 (2020) - [i2]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 abs/2010.12660 (2020) - [i1]Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A biologically plausible neural network for local supervision in cortical microcircuits. CoRR abs/2011.15031 (2020)
2010 – 2019
- 2015
- [j1]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): 4467-4535 (2015)
Coauthor Index
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