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Jeffrey Markowitz

2 accepted papers

2025

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors

ICML 2025poster

Traditional approaches to studying decision-making in neuroscience focus on simplified behavioral tasks where animals perform repetitive, stereotyped actions to receive explicit rewards. While informative, these methods constrain our understanding of decision-making to short timescale behaviors driv…

Cited by 9SourcePDFScholar
2019

BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos

NeurIPS 2019poster

A fundamental goal of systems neuroscience is to understand the relationship between neural activity and behavior. Behavior has traditionally been characterized by low-dimensional, task-related variables such as movement speed or response times. More recently, there has been a growing interest in au…