GABA-receptive microglia selectively sculpt developing inhibitory circuits DOI Creative Commons
Emilia Favuzzi, Shuhan Huang, Giuseppe-Antonio Saldi

et al.

Cell, Journal Year: 2021, Volume and Issue: 184(15), P. 4048 - 4063.e32

Published: July 1, 2021

Language: Английский

Spontaneous behaviors drive multidimensional, brainwide activity DOI Open Access
Carsen Stringer, Marius Pachitariu, Nicholas A. Steinmetz

et al.

Science, Journal Year: 2019, Volume and Issue: 364(6437)

Published: April 19, 2019

Neuron activity across the brain How is it that groups of neurons dispersed through interact to generate complex behaviors? Three papers in this issue present brain-scale studies neuronal and dynamics (see Perspective by Huk Hart). Allen et al. found thirsty mice, there widespread neural related stimuli elicit licking drinking. Individual encoded task-specific responses, but every area contained with different types response. Optogenetic stimulation thirst-sensing one reinstated drinking previously signaled thirst. Gründemann investigated mouse basal amygdala relation behavior during tasks. Two ensembles showed orthogonal exploratory nonexploratory behaviors, possibly reflecting levels anxiety experienced these areas. Stringer analyzed spontaneous firing, finding primary visual cortex both information motor facial movements. The variability responses mainly arousal reflects encoding latent behavioral states. Science , p. eaav3932 eaav8736 eaav7893 ; see also 236

Language: Английский

Citations

1396

Using DeepLabCut for 3D markerless pose estimation across species and behaviors DOI
Tanmay Nath, Alexander Mathis,

An Chi Chen

et al.

Nature Protocols, Journal Year: 2019, Volume and Issue: 14(7), P. 2152 - 2176

Published: June 21, 2019

Language: Английский

Citations

1142

Fast animal pose estimation using deep neural networks DOI
Talmo Pereira, Diego Aldarondo, Lindsay Willmore

et al.

Nature Methods, Journal Year: 2018, Volume and Issue: 16(1), P. 117 - 125

Published: Dec. 11, 2018

Language: Английский

Citations

590

Principal component analysis DOI
Michael Greenacre, Patrick J. F. Groenen, Trevor Hastie

et al.

Nature Reviews Methods Primers, Journal Year: 2022, Volume and Issue: 2(1)

Published: Dec. 22, 2022

Language: Английский

Citations

545

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning DOI Creative Commons
Jacob M. Graving,

Daniel H. Chae,

Hemal Naik

et al.

eLife, Journal Year: 2019, Volume and Issue: 8

Published: Oct. 1, 2019

Quantitative behavioral measurements are important for answering questions across scientific disciplines-from neuroscience to ecology. State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers automatically estimate locations of an animal's body parts directly from images or videos. However, currently available animal pose estimation have limitations speed robustness. Here, we introduce a new easy-to-use software toolkit, DeepPoseKit, that addresses these problems using efficient multi-scale model, called Stacked DenseNet, fast GPU-based peak-detection algorithm estimating keypoint with subpixel precision. These improve processing >2x no loss accuracy compared methods. We demonstrate the versatility our multiple challenging tasks laboratory field settings-including groups interacting individuals. Our work reduces barriers advanced tools measuring behavior has broad applicability sciences.

Language: Английский

Citations

463

Neural Circuit Mechanisms of Social Behavior DOI Creative Commons
Patrick Chen, Weizhe Hong

Neuron, Journal Year: 2018, Volume and Issue: 98(1), P. 16 - 30

Published: April 1, 2018

Language: Английский

Citations

460

Human-level performance in 3D multiplayer games with population-based reinforcement learning DOI Open Access
Max Jaderberg, Wojciech Marian Czarnecki,

Iain Dunning

et al.

Science, Journal Year: 2019, Volume and Issue: 364(6443), P. 859 - 865

Published: May 30, 2019

Reinforcement learning (RL) has shown great success in increasingly complex single-agent environments and two-player turn-based games. However, the real world contains multiple agents, each acting independently to cooperate compete with other agents. We used a tournament-style evaluation demonstrate that an agent can achieve human-level performance three-dimensional multiplayer first-person video game, Quake III Arena Capture Flag mode, using only pixels game points scored as input. two-tier optimization process which population of independent RL agents are trained concurrently from thousands parallel matches on randomly generated environments. Each learns its own internal reward signal rich representation world. These results indicate potential multiagent reinforcement for artificial intelligence research.

Language: Английский

Citations

410

The Striatum Organizes 3D Behavior via Moment-to-Moment Action Selection DOI Creative Commons
Jeffrey E. Markowitz, Winthrop F. Gillis, Celia Beron

et al.

Cell, Journal Year: 2018, Volume and Issue: 174(1), P. 44 - 58.e17

Published: May 17, 2018

Language: Английский

Citations

404

Computational Neuroethology: A Call to Action DOI Creative Commons
Sandeep Robert Datta, David J. Anderson, Kristin Branson

et al.

Neuron, Journal Year: 2019, Volume and Issue: 104(1), P. 11 - 24

Published: Oct. 1, 2019

Language: Английский

Citations

392

Deep learning tools for the measurement of animal behavior in neuroscience DOI
Mackenzie Weygandt Mathis, Alexander Mathis

Current Opinion in Neurobiology, Journal Year: 2019, Volume and Issue: 60, P. 1 - 11

Published: Nov. 29, 2019

Language: Английский

Citations

379