Baylor College of Medicine
|Assistant Professor
US
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David Lipshutz
Work
Flatiron Institute
|Associate Research Scientist
US
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Technion – Israel Institute of Technology
|Postdoctoral Fellow
Israel
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Brown University
|Postdoctoral Fellow
US
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Education
University of California, San Diego
United States of America
→
Ph.D.
University of California, San Diego
United States of America
→
BA
Publications
Neuronal temporal filters as normal mode extractors
Physical Review Research
journal-article
Shaping the distribution of neural responses with interneurons in a recurrent circuit model
Advances in Neural Information Processing Systems
conference-paper
Adaptive whitening with fast gain modulation and slow synaptic plasticity
Neural Information Processing Systems
conference-paper
Normative Framework for Deriving Neural Networks with Multicompartmental Neurons and Non-Hebbian Plasticity
PRX Life
journal-article
Adaptive whitening in neural populations with gain-modulating interneurons
International Conference on Machine Learning
conference-paper
An Online Algorithm for Contrastive Principal Component Analysis
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
conference-paper
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
International Conference on Learning Representations
conference-paper
A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment
PLOS Computational Biology
journal-article
Coordinated drift of receptive fields in Hebbian/anti-Hebbian network models during noisy representation learning
Nature Neuroscience
journal-article
Biologically plausible single-layer networks for nonnegative independent component analysis
Biological Cybernetics
journal-article
Stability of Synchronous Slowly Oscillating Periodic Solutions for Systems of Delay Differential Equations with Coupled Nonlinearity
Journal of Dynamics and Differential Equations
journal-article
Customer-Server Population Dynamics in Heavy Traffic
Stochastic Systems
journal-article
Biological Learning of Irreducible Representations of Commuting Transformations
Neural Information Processing Systems
conference-paper
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis
Neural Computation
journal-article
Sensitivity Analysis for the Stationary Distribution of Reflected Brownian Motion in a Convex Polyhedral Cone
Mathematics of Operations Research
journal-article
Heavy Traffic Limits for Join-the-Shortest-Estimated-Queue Policy Using Delayed Information
Mathematics of Operations Research
journal-article
A simple normative network approximates local non-Hebbian learning in the cortex
Neural Information Processing Systems
conference-paper
A biologically plausible neural network for slow feature analysis
Advances in Neural Information Processing Systems
conference-paper
Open Problem—Load Balancing Using Delayed Information
Stochastic Systems
journal-article
Pathwise differentiability of reflected diffusions in convex polyhedral domains
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques
journal-article
A Monte Carlo Method for Estimating Sensitivities of Reflected Diffusions in Convex Polyhedral Domains
Stochastic Systems
journal-article
Large deviations for the empirical measure of a diffusion via weak convergence methods
Stochastic Processes and their Applications
journal-article
On directional derivatives of Skorokhod maps in convex polyhedral domains
The Annals of Applied Probability
journal-article
Exit time asymptotics for small noise stochastic delay differential equations
Discrete & Continuous Dynamical Systems - A
journal-article
Existence, Uniqueness, and Stability of Slowly Oscillating Periodic Solutions for Delay Differential Equations with Nonnegativity Constraints
SIAM Journal on Mathematical Analysis
journal-article