Distinct ensembles in the noradrenergic locus coeruleus are associated with diverse cortical states DOI Creative Commons

Shahryar Noei,

Ioannis S. Zouridis, Nikos K. Logothetis

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2022, Volume and Issue: 119(18)

Published: April 29, 2022

Significance Brainstem locus coeruleus (LC) noradrenergic neurons produce an arousal-related state characterized by a broadband increase in high-frequency oscillations. This perspective was built upon electrical or optogenetic stimulation that artificially activates LC synchronously. has led to the conceptual model activation is associated with single cortical state. Here, we show natural, spontaneously occurring single-unit activity consists of ensembles largely nonoverlapping dynamics. Spontaneous activations different are states. Our results suggest role controlling type arousal oversimplification. Instead, may control diverse multitude

Language: Английский

Computation Through Neural Population Dynamics DOI
Saurabh Vyas, Matthew D. Golub, David Sussillo

et al.

Annual Review of Neuroscience, Journal Year: 2020, Volume and Issue: 43(1), P. 249 - 275

Published: July 8, 2020

Significant experimental, computational, and theoretical work has identified rich structure within the coordinated activity of interconnected neural populations. An emerging challenge now is to uncover nature associated computations, how they are implemented, what role play in driving behavior. We term this computation through population dynamics. If successful, framework will reveal general motifs quantitatively describe dynamics implement computations necessary for goal-directed Here, we start with a mathematical primer on dynamical systems theory analytical tools apply perspective experimental data. Next, highlight some recent discoveries resulting from successful application systems. focus studies spanning motor control, timing, decision-making, working memory. Finally, briefly discuss promising lines investigation future directions framework.

Language: Английский

Citations

531

Artificial Neural Networks for Neuroscientists: A Primer DOI Creative Commons
Guangyu Robert Yang, Xiao‐Jing Wang

Neuron, Journal Year: 2020, Volume and Issue: 107(6), P. 1048 - 1070

Published: Sept. 1, 2020

Language: Английский

Citations

298

Accurate Estimation of Neural Population Dynamics without Spike Sorting DOI Creative Commons
Eric M. Trautmann, Sergey D. Stavisky, Subhaneil Lahiri

et al.

Neuron, Journal Year: 2019, Volume and Issue: 103(2), P. 292 - 308.e4

Published: June 3, 2019

Language: Английский

Citations

241

Bayesian Computation through Cortical Latent Dynamics DOI Creative Commons
Hansem Sohn, Devika Narain, Nicolas Meirhaeghe

et al.

Neuron, Journal Year: 2019, Volume and Issue: 103(5), P. 934 - 947.e5

Published: July 15, 2019

Language: Английский

Citations

224

The population doctrine in cognitive neuroscience DOI Creative Commons
R. Becket Ebitz, Benjamin Y. Hayden

Neuron, Journal Year: 2021, Volume and Issue: 109(19), P. 3055 - 3068

Published: Aug. 19, 2021

Language: Английский

Citations

181

Long-term brain network reorganization predicts responsive neurostimulation outcomes for focal epilepsy DOI
Ankit N. Khambhati, Alia Shafi, Vikram R. Rao

et al.

Science Translational Medicine, Journal Year: 2021, Volume and Issue: 13(608)

Published: Aug. 25, 2021

Responsive neurostimulation designed to abort seizures induces brain plasticity that might predict clinical outcomes in the first year of therapy.

Language: Английский

Citations

111

A neural population selective for song in human auditory cortex DOI Creative Commons
Sam Norman-Haignere, Jenelle Feather, Dana Boebinger

et al.

Current Biology, Journal Year: 2022, Volume and Issue: 32(7), P. 1470 - 1484.e12

Published: Feb. 22, 2022

Language: Английский

Citations

96

Context-aware deconvolution of cell–cell communication with Tensor-cell2cell DOI Creative Commons
Erick Armingol, Hratch Baghdassarian, Cameron Martino

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: June 27, 2022

Abstract Cell interactions determine phenotypes, and intercellular communication is shaped by cellular contexts such as disease state, organismal life stage, tissue microenvironment. Single-cell technologies measure the molecules mediating cell–cell communication, emerging computational tools can exploit these data to decipher communication. However, current methods either disregard context or rely on simple pairwise comparisons between samples, thus limiting ability complex across multiple time points, levels of severity, spatial contexts. Here we present Tensor-cell2cell, an unsupervised method using tensor decomposition, which deciphers context-driven simultaneously accounting for stages, states, locations cells. To do so, Tensor-cell2cell uncovers patterns associated with different phenotypic states determined unique combinations cell types ligand-receptor pairs. As such, robustly improves upon extends analytical capabilities existing tools. We show identify modules distinct processes (e.g., participating pairs) linked severities Coronavirus Disease 2019 Autism Spectrum Disorder. Thus, introduce effective easy-to-use strategy understanding diverse conditions.

Language: Английский

Citations

71

Drugs of abuse hijack a mesolimbic pathway that processes homeostatic need DOI
Bowen Tan, Caleb J. Browne, Tobias Nöbauer

et al.

Science, Journal Year: 2024, Volume and Issue: 384(6693)

Published: April 18, 2024

Drugs of abuse are thought to promote addiction in part by “hijacking” brain reward systems, but the underlying mechanisms remain undefined. Using whole-brain FOS mapping and vivo single-neuron calcium imaging, we found that drugs augment dopaminoceptive ensemble activity nucleus accumbens (NAc) disorganize overlapping responses natural rewards a cell type–specific manner. Combining FOS-Seq, CRISPR-perturbation, single-nucleus RNA sequencing, identified Rheb as molecular substrate regulates signal transduction NAc while enabling suppress consumption. Mapping NAc-projecting regions activated revealed input-specific effects on These findings characterize dynamic, circuit basis common pathway, wherein interfere with fulfillment innate needs.

Language: Английский

Citations

29

Rapid emergence of latent knowledge in the sensory cortex drives learning DOI
Céline Drieu, Ziyi Zhu, Ziyun Wang

et al.

Nature, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Language: Английский

Citations

2