Quantifying behavior to understand the brain

TD Pereira, JW Shaevitz, M Murthy - Nature neuroscience, 2020 - nature.com
Over the past years, numerous methods have emerged to automate the quantification of
animal behavior at a resolution not previously imaginable. This has opened up a new field of …

Computational neuroethology: a call to action

SR Datta, DJ Anderson, K Branson, P Perona, A Leifer - Neuron, 2019 - cell.com
The brain is worthy of study because it is in charge of behavior. A flurry of recent technical
advances in measuring and quantifying naturalistic behaviors provide an important …

Whole-animal connectomes of both Caenorhabditis elegans sexes

SJ Cook, TA Jarrell, CA Brittin, Y Wang, AE Bloniarz… - Nature, 2019 - nature.com
Abstract Knowledge of connectivity in the nervous system is essential to understanding its
function. Here we describe connectomes for both adult sexes of the nematode …

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 …

Neural circuit policies enabling auditable autonomy

M Lechner, R Hasani, A Amini, TA Henzinger… - Nature Machine …, 2020 - nature.com
A central goal of artificial intelligence in high-stakes decision-making applications is to
design a single algorithm that simultaneously expresses generalizability by learning …

[HTML][HTML] Map** sub-second structure in mouse behavior

AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson… - Neuron, 2015 - cell.com
Complex animal behaviors are likely built from simpler modules, but their systematic
identification in mammals remains a significant challenge. Here we use depth imaging to …

Global brain dynamics embed the motor command sequence of Caenorhabditis elegans

S Kato, HS Kaplan, T Schrödel, S Skora, TH Lindsay… - Cell, 2015 - cell.com
While isolated motor actions can be correlated with activities of neuronal networks, an
unresolved problem is how the brain assembles these activities into organized behaviors …

BiPOLES is an optogenetic tool developed for bidirectional dual-color control of neurons

J Vierock, S Rodriguez-Rozada, A Dieter… - Nature …, 2021 - nature.com
Optogenetic manipulation of neuronal activity through excitatory and inhibitory opsins has
become an indispensable experimental strategy in neuroscience research. For many …

B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors

AI Hsu, EA Yttri - Nature communications, 2021 - nature.com
Studying naturalistic animal behavior remains a difficult objective. Recent machine learning
advances have enabled limb localization; however, extracting behaviors requires …

Network control principles predict neuron function in the Caenorhabditis elegans connectome

G Yan, PE Vértes, EK Towlson, YL Chew, DS Walker… - Nature, 2017 - nature.com
Recent studies on the controllability of complex systems offer a powerful mathematical
framework to systematically explore the structure–function relationship in biological, social …