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How Neuroscientists Are Using AI To Understand Behavior

Published by Lightning AI

Neuroscientists are using AI to better understand behavior by developing advanced tools for pose estimation. Dan Biderman, a Ph.D. candidate at Columbia University’s Center for Theoretical Neuroscience, leads a project focused on modeling animal behavior by analyzing videos to explore how brain regions control movement. His team developed Lightning Pose, a video-centric software package combining PyTorch Lightning and Nvidia DALI, which efficiently processes video sequences for training neural networks. Their semi-supervised approach taps into the rich spatiotemporal structure in raw, unannotated videos, aiming to streamline neuroscience research and enhance reproducibility across the field.

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Related Categories Artificial Intelligence, Deep Learning, AI Development Tools, Unsupervised Learning, Reinforcement Learning, Data Preprocessing, Model Training, Model Evaluation, Sentiment Analysis, Text Mining, Speech Recognition, Machine Translation, Language Models

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