[HTML][HTML] Catalyzing next-generation artificial intelligence through neuroai

A Zador, S Escola, B Richards, B Ölveczky… - Nature …, 2023 - nature.com
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We
propose that to accelerate progress in AI, we must invest in fundamental research in …

Leaving flatland: Advances in 3D behavioral measurement

JD Marshall, T Li, JH Wu, TW Dunn - Current Opinion in Neurobiology, 2022 - Elsevier
Animals move in three dimensions (3D). Thus, 3D measurement is necessary to report the
true kinematics of animal movement. Existing 3D measurement techniques draw on …

Geometric deep learning enables 3D kinematic profiling across species and environments

TW Dunn, JD Marshall, KS Severson, DE Aldarondo… - Nature …, 2021 - nature.com
Comprehensive descriptions of animal behavior require precise three-dimensional (3D)
measurements of whole-body movements. Although two-dimensional approaches can track …

[HTML][HTML] Anipose: A toolkit for robust markerless 3D pose estimation

P Karashchuk, KL Rupp, ES Dickinson, S Walling-Bell… - Cell reports, 2021 - cell.com
Quantifying movement is critical for understanding animal behavior. Advances in computer
vision now enable markerless tracking from 2D video, but most animals move in 3D. Here …

[HTML][HTML] Facemap: a framework for modeling neural activity based on orofacial tracking

A Syeda, L Zhong, R Tung, W Long, M Pachitariu… - Nature …, 2024 - nature.com
Recent studies in mice have shown that orofacial behaviors drive a large fraction of neural
activity across the brain. To understand the nature and function of these signals, we need …

[HTML][HTML] Behavioral decomposition reveals rich encoding structure employed across neocortex in rats

B Mimica, T Tombaz, C Battistin, JG Fuglstad… - Nature …, 2023 - nature.com
The cortical population code is pervaded by activity patterns evoked by movement, but it
remains largely unknown how such signals relate to natural behavior or how they might …

Toward next-generation artificial intelligence: Catalyzing the neuroai revolution

A Zador, S Escola, B Richards, B Ölveczky… - arXiv preprint arXiv …, 2022 - arxiv.org
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We
propose that to accelerate progress in AI, we must invest in fundamental research in …

[HTML][HTML] Hierarchical action encoding in prefrontal cortex of freely moving macaques

B Voloh, DJN Maisson, RL Cervera, I Conover… - Cell reports, 2023 - cell.com
Our natural behavioral repertoires include coordinated actions of characteristic types. To
better understand how neural activity relates to the expression of actions and action …

[HTML][HTML] Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics

C Weinreb, J Pearl, S Lin, MAM Osman, L Zhang… - BioRxiv, 2023 - ncbi.nlm.nih.gov
Keypoint tracking algorithms have revolutionized the analysis of animal behavior, enabling
investigators to flexibly quantify behavioral dynamics from conventional video recordings …

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

A Gosztolai, S Günel, V Lobato-Ríos, M Pietro Abrate… - Nature …, 2021 - nature.com
Abstract Markerless three-dimensional (3D) pose estimation has become an indispensable
tool for kinematic studies of laboratory animals. Most current methods recover 3D poses by …