Publications

2026

• Global stability of a Hebbian/anti-Hebbian network for principal subspace learning
• Lipshutz D, Lipshutz RJ. Neural Computation

2025

• Memory traces bias new learning for hippocampal generalization
• Qian FK, Li G, Lipshutz D, Romani S, Magee JC. bioRxiv
• Modeling neural activity with conditionally linear dynamical systems
• Geadah V, Nejatbakhsh A, Lipshutz D, Pillow JW, Williams AH. Neural Information Processing Systems
• Comparing noisy neural population dynamics with optimal transport distances
• Nejatbakhsh A, Geadah V, Williams AH, Lipshutz D. International Conference on Learning Representations
• Oral presentation
• Discriminating image representations with principal distortions
• Feather J*, Lipshutz D*, Harvey SE, Williams AH, Simoncelli EP. International Conference on Learning Representations

2024

• What representational similarity measures imply about decodable information
• Harvery SE, Lipshutz D, Williams AH. Proceedings of UniReps
• Best paper award
• Shaping the distribution of neural responses with interneurons in a recurrent circuit model
• Lipshutz D, Simoncelli EP. Neural Information Processing Systems
• Neuronal temporal filters as normal mode extractors
• Golkar S*, Berman J*, Lipshutz D, Haret RM, Gollisch T, Chklovskii DB. Physical Review Research

2023

• Adaptive whitening with fast gain modulation and slow synaptic plasticity
• Duong LR, Simoncelli EP, Chklovskii DB, Lipshutz D. Neural Information Processing Systems
• Spotlight presentation
• Normative framework for deriving neural networks with multicompartmental neurons and non-Hebbian plasticity
• Lipshutz D*, Bahroun Y*, Golkar S*, Sengupta AM, Chklovskii DB. PRX Life
• Adaptive whitening in neural populations with gain-modulating interneurons
• Duong LR*, Lipshutz D*, Heeger DJ, Chklovskii DB, Simoncelli EP. International Conference on Machine Learning
• An online algorithm for contrastive principal component analysis
• Golkar S*, Lipshutz D*, Tesileanu T, Chklovskii DB. IEEE Conference on Acoustics, Speech, and Signal Processing
• Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
• Lipshutz D, Pehlevan C, Chklovskii DB. International Conference on Learning Representations
• A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment
• Lipshutz D, Kashalikar A, Farashahi S, Chklovskii DB. PLoS Computational Biology
• Coordinated drift of receptive fields in Hebbian/anti-Hebbian network models during noisy representation learning
• Qin S, Farashahi S*, Lipshutz D*, Chklovskii DB, Pehlevan C. Nature Neuroscience

2022

• Biological learning of irreducible representations of commuting transformations
• Genkin A, Lipshutz D, Golkar S, Tesileanu T, Chklovskii DB. Neural Information Processing Systems
• Biologically plausible single-layer networks for nonnegative independent component analysis
• Lipshutz D, Pehlevan C, Chklovskii DB. Biological Cybernetics

2021

• A biologically plausible neural network for multi-channel canonical correlation analysis
• Lipshutz D*, Bahroun Y*, Golkar S*, Sengupta AM, Chklovskii DB. Neural Computation

2020

• A simple normative network approximates local non-Hebbian learning in the cortex
• Golkar S, Lipshutz D, Bahroun Y, Sengupta AM, Chklovskii DB. Neural Information Processing Systems
• A biologically plausible neural network for slow feature analysis
• Lipshutz D*, Windolf C*, Golkar S, Chklovskii DB. Neural Information Processing Systems