Separating cognitive and motor processes in the behaving mouse DOI Creative Commons
Munib A. Hasnain, Jaclyn E Birnbaum,

Juan Luis Ugarte Nunez

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 24, 2023

The cognitive processes supporting complex animal behavior are closely associated with ubiquitous movements responsible for our posture, facial expressions, ability to actively sample sensory environments, and other critical processes. These strongly related neural activity across much of the brain often highly correlated ongoing processes, making it challenging dissociate dynamics that support from those movements. In such cases, a issue is whether separable movements, or if they driven by common mechanisms. Here, we demonstrate how separability motor can be assessed, and, when separable, each component isolated. We establish novel two-context behavioral task in mice involves multiple show commonly observed taken contaminated When components isolated using approach subspace decomposition, find exhibit distinct dynamical trajectories. Further, properly accounting movement revealed largely separate populations cells encode variables, contrast "mixed selectivity" reported. Accurately isolating particular will essential developing conceptual computational models circuit function evaluating cell types which circuits composed.

Language: Английский

Analysis of Mouse Vocal Communication (AMVOC): a deep, unsupervised method for rapid detection, analysis and classification of ultrasonic vocalisations DOI Creative Commons
Vasiliki Stoumpou, César D. M. Vargas, Peter F. Schade

et al.

Bioacoustics, Journal Year: 2022, Volume and Issue: 32(2), P. 199 - 229

Published: Aug. 25, 2022

Some aspects of the neural mechanisms underlying mouse ultrasonic vocalisations (USVs) are a useful model for neurobiology human speech and speech-related disorders. Much research on USVs is limited to offline methods supervised classification USVs, hindering discovery new types study real-time free behaviour. To address these issues, we developed AMVOC (Analysis Mouse VOcal Communication) as free, open-source software detect analyse USVs. When compared hand-annotated ground-truth USV data, AMVOC's detection functionality (both online) has high accuracy outperforms leading in noisy conditions. also includes an unsupervised deep learning approach that facilitates analysis data by training clustering based latent features extracted convolutional autoencoder. The visualised graphical user interface (GUI) which allows users evaluate performance. These results can be used explore vocal repertoire space individual animals. In this way, will facilitate analyses broader range experimental conditions allow develop previously inaccessible designs

Language: Английский

Citations

10
AVATAR: AI Vision Analysis for Three-dimensional Action in Real-time DOI Creative Commons
Dae‐Gun Kim, Anna Shin, Yong‐Cheol Jeong

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: Jan. 2, 2022

Abstract Artificial intelligence (AI) is an emerging tool for high-resolution behavioural analysis and conduction of human-free experiments. Here, we applied AI-based system, AVATAR, which automatically virtualises 3D motions from the detection 9 body parts. This allows quantification, classification specific action sequences in real-time facilitates closed-loop manipulation, triggered by onset behaviours, freely moving mice.

Language: Английский

Citations

9
Physics-based character animation and human motor control DOI
Joan Llobera, Caecilia Charbonnier

Physics of Life Reviews, Journal Year: 2023, Volume and Issue: 46, P. 190 - 219

Published: July 11, 2023

Language: Английский

Citations

5
Behavioral measurements of motor readiness in mice DOI Creative Commons
Elise N. Mangin, Jian Chen,

Lin Jing

et al.

Current Biology, Journal Year: 2023, Volume and Issue: 33(17), P. 3610 - 3624.e4

Published: Aug. 14, 2023

Motor planning facilitates rapid and precise execution of volitional movements. Although motor has been classically studied in humans monkeys, the mouse become an increasingly popular model system to study neural mechanisms planning. It remains yet untested whether mice primates share common behavioral features We combined videography a delayed response task paradigm autonomous measure non-body-restrained mice. resulted both reaction time (RT) savings increased movement accuracy, replicating classic effects primates. found that was reflected task-relevant body features. Both specific actions prepared degree readiness could be read out online during The readout further revealed evidence simultaneous preparation for multiple under uncertain conditions. These results validate as planning, demonstrate feature movements powerful real-time readiness, offer can parallel process permits selection actions.

Language: Английский

Citations

5
Separating cognitive and motor processes in the behaving mouse DOI Creative Commons
Munib A. Hasnain, Jaclyn E Birnbaum,

Juan Luis Ugarte Nunez

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 24, 2023

The cognitive processes supporting complex animal behavior are closely associated with ubiquitous movements responsible for our posture, facial expressions, ability to actively sample sensory environments, and other critical processes. These strongly related neural activity across much of the brain often highly correlated ongoing processes, making it challenging dissociate dynamics that support from those movements. In such cases, a issue is whether separable movements, or if they driven by common mechanisms. Here, we demonstrate how separability motor can be assessed, and, when separable, each component isolated. We establish novel two-context behavioral task in mice involves multiple show commonly observed taken contaminated When components isolated using approach subspace decomposition, find exhibit distinct dynamical trajectories. Further, properly accounting movement revealed largely separate populations cells encode variables, contrast "mixed selectivity" reported. Accurately isolating particular will essential developing conceptual computational models circuit function evaluating cell types which circuits composed.

Language: Английский

Citations

5