A set of hub neurons and non-local connectivity features support global brain dynamics in C. elegans DOI Creative Commons
Kerem Uzel, Saul Kato, Manuel Zimmer

et al.

Current Biology, Journal Year: 2022, Volume and Issue: 32(16), P. 3443 - 3459.e8

Published: July 8, 2022

The wiring architecture of neuronal networks is assumed to be a strong determinant their dynamical computations. An ongoing effort in neuroscience therefore generate comprehensive synapse-resolution connectomes alongside brain-wide activity maps. However, the structure-function relationship, i.e., how anatomical connectome and dynamics relate each other on global scale, remains unsolved. Systematically, comparing graph features C. elegans with correlations nervous system-wide dynamics, we found that few local connectivity motifs mostly non-local such as triplet input similarities can predict functional relationships between neurons. Surprisingly, quantities connection strength amount common inputs do not improve these predictions, suggesting network's topology sufficient. We demonstrate hub neurons are key relevant features. Consistently, inhibition multiple specifically disrupts correlations. Thus, propose set provide an substrate for brain dynamics.

Language: Английский

Signal propagation in complex networks DOI
Peng Ji, Jiachen Ye, Yu Mu

et al.

Physics Reports, Journal Year: 2023, Volume and Issue: 1017, P. 1 - 96

Published: April 5, 2023

Language: Английский

Citations

180

Learnable latent embeddings for joint behavioural and neural analysis DOI Creative Commons
Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis

et al.

Nature, Journal Year: 2023, Volume and Issue: 617(7960), P. 360 - 368

Published: May 3, 2023

Abstract Mapping behavioural actions to neural activity is a fundamental goal of neuroscience. As our ability record large and data increases, there growing interest in modelling dynamics during adaptive behaviours probe representations 1–3 . In particular, although latent embeddings can reveal underlying correlates behaviour, we lack nonlinear techniques that explicitly flexibly leverage joint behaviour uncover 3–5 Here, fill this gap with new encoding method, CEBRA, jointly uses (supervised) hypothesis- or (self-supervised) discovery-driven manner produce both consistent high-performance spaces. We show consistency be used as metric for uncovering meaningful differences, the inferred latents decoding. validate its accuracy demonstrate tool’s utility calcium electrophysiology datasets, across sensory motor tasks simple complex species. It allows single- multi-session datasets hypothesis testing label free. Lastly, CEBRA mapping space, kinematic features, production spaces two-photon Neuropixels data, provide rapid, high-accuracy decoding natural videos from visual cortex.

Language: Английский

Citations

166

The structures and functions of correlations in neural population codes DOI
Stefano Panzeri, Monica Moroni, Houman Safaai

et al.

Nature reviews. Neuroscience, Journal Year: 2022, Volume and Issue: 23(9), P. 551 - 567

Published: June 22, 2022

Language: Английский

Citations

154

Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity DOI Creative Commons
Mehrdad Jazayeri, Srdjan Ostojic

Current Opinion in Neurobiology, Journal Year: 2021, Volume and Issue: 70, P. 113 - 120

Published: Sept. 17, 2021

Language: Английский

Citations

140

The emergence and influence of internal states DOI Creative Commons
Steven W. Flavell, Nadine Gogolla, Matthew Lovett-Barron

et al.

Neuron, Journal Year: 2022, Volume and Issue: 110(16), P. 2545 - 2570

Published: May 27, 2022

Language: Английский

Citations

139

A unifying perspective on neural manifolds and circuits for cognition DOI
Christopher Langdon, Mikhail Genkin, Tatiana A. Engel

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(6), P. 363 - 377

Published: April 13, 2023

Language: Английский

Citations

117

Two-photon calcium imaging of neuronal activity DOI
Christine Grienberger, Andrea Giovannucci, William Zeiger

et al.

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

Published: Sept. 1, 2022

Language: Английский

Citations

78

Brain-wide representations of behavior spanning multiple timescales and states in C. elegans DOI Creative Commons

Adam A. Atanas,

Jung Soo Kim, Ziyu Wang

et al.

Cell, Journal Year: 2023, Volume and Issue: 186(19), P. 4134 - 4151.e31

Published: Aug. 21, 2023

Changes in an animal's behavior and internal state are accompanied by widespread changes activity across its brain. However, how neurons the brain encode this is impacted poorly understood. We recorded brain-wide diverse motor programs of freely moving C. elegans built probabilistic models that explain each neuron encodes quantitative behavioral features. By determining identities neurons, we created atlas defined classes connectome behavior. Many have conjunctive representations multiple behaviors. Moreover, although many current actions, others integrate recent actions. behavior, identify these flexible nodes connectome. Our results provide a global map cell types

Language: Английский

Citations

47

Reconstructing computational system dynamics from neural data with recurrent neural networks DOI
Daniel Durstewitz, Georgia Koppe,

Max Ingo Thurm

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(11), P. 693 - 710

Published: Oct. 4, 2023

Language: Английский

Citations

46

Simultaneous, cortex-wide dynamics of up to 1 million neurons reveal unbounded scaling of dimensionality with neuron number DOI
Jason Manley, Sihao Lu, Kevin M. Barber

et al.

Neuron, Journal Year: 2024, Volume and Issue: 112(10), P. 1694 - 1709.e5

Published: March 6, 2024

Language: Английский

Citations

31