Existence, Uniqueness, and Stability of Slowly Oscillating Periodic Solutions for Delay Differential Equations with Nonnegativity Constraints. - David Lipshutz; Ruth J. Williams (SIAM J. Math. Anal., 2015)

A simple normative network approximates local non-Hebbian learning in the cortex. - Siavash Golkar; David Lipshutz; Yanis Bahroun; Anirvan M. Sengupta; Dmitri B. Chklovskii (NeurIPS, 2020)

A Biologically Plausible Neural Network for Slow Feature Analysis. - David Lipshutz; Charles Windolf; Siavash Golkar; Dmitri B. Chklovskii (NeurIPS, 2020)

A biologically plausible neural network for multi-channel Canonical Correlation Analysis. - David Lipshutz; Yanis Bahroun; Siavash Golkar; Anirvan M. Sengupta; Dmitri B. Chklovskii (CoRR, 2020)

Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis. - David Lipshutz; Dmitri B. Chklovskii (CoRR, 2020)

A biologically plausible neural network for local supervision in cortical microcircuits. - Siavash Golkar; David Lipshutz; Yanis Bahroun; Anirvan M. Sengupta; Dmitri B. Chklovskii (CoRR, 2020)

Heavy Traffic Limits for Join-the-Shortest-Estimated-Queue Policy Using Delayed Information. - Rami Atar; David Lipshutz (Math. Oper. Res., 2021)

Sensitivity Analysis for the Stationary Distribution of Reflected Brownian Motion in a Convex Polyhedral Cone. - David Lipshutz; Kavita Ramanan (Math. Oper. Res., 2021)

A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis. - David Lipshutz; Yanis Bahroun; Siavash Golkar; Anirvan M. Sengupta; Dmitri B. Chklovskii (Neural Comput., 2021)

Biological Learning of Irreducible Representations of Commuting Transformations. - Alexander Genkin; David Lipshutz; Siavash Golkar; Tiberiu Tesileanu; Dmitri B. Chklovskii (NeurIPS, 2022)

Biologically plausible single-layer networks for nonnegative independent component analysis. - David Lipshutz; Cengiz Pehlevan; Dmitri B. Chklovskii (Biol. Cybern., 2022)

An Online Algorithm for Contrastive Principal Component Analysis. - Siavash Golkar; David Lipshutz; Tiberiu Tesileanu; Dmitri B. Chklovskii (ICASSP, 2023)

Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. - David Lipshutz; Cengiz Pehlevan; Dmitri B. Chklovskii (ICLR, 2023)

Adaptive Whitening in Neural Populations with Gain-modulating Interneurons. - Lyndon R. Duong; David Lipshutz; David J. Heeger; Dmitri B. Chklovskii; Eero P. Simoncelli (ICML, 2023)

Adaptive whitening with fast gain modulation and slow synaptic plasticity. - Lyndon R. Duong; Eero P. Simoncelli; Dmitri B. Chklovskii; David Lipshutz (NeurIPS, 2023)

Statistical whitening of neural populations with gain-modulating interneurons. - Lyndon R. Duong; David Lipshutz; David J. Heeger; Dmitri B. Chklovskii; Eero P. Simoncelli (CoRR, 2023)

A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity. - David Lipshutz; Yanis Bahroun; Siavash Golkar; Anirvan M. Sengupta; Dmitri B. Chklovskii (CoRR, 2023)

A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment. - David Lipshutz; Aneesh Kashalikar; Shiva Farashahi; Dmitri B. Chklovskii (PLoS Comput. Biol., 2023)

Shaping the distribution of neural responses with interneurons in a recurrent circuit model. - David Lipshutz; Eero P. Simoncelli (NeurIPS, 2024)

Neuronal Temporal Filters as Normal Mode Extractors. - Siavash Golkar; Jules Berman; David Lipshutz; Robert Mihai Haret; Tim Gollisch; Dmitri B. Chklovskii (CoRR, 2024)

Discriminating image representations with principal distortions. - Jenelle Feather; David Lipshutz; Sarah E. Harvey; Alex H. Williams; Eero P. Simoncelli (ICLR, 2025)

Comparing noisy neural population dynamics using optimal transport distances. - Amin Nejatbakhsh; Victor Geadah; Alex H. Williams; David Lipshutz (ICLR, 2025)

What Representational Similarity Measures Imply about Decodable Information. - Sarah E. Harvey; David Lipshutz; Alex H. Williams (UniReps, 2025)