Spontaneous mesoscale calcium dynamics reflect the development of the modular functional architecture of the mouse cerebral cortex DOI Creative Commons

Davide Warm,

Davide Bassetti, Levente Gellért

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121088 - 121088

Published: Feb. 1, 2025

Language: Английский

Interactions between rodent visual and spatial systems during navigation DOI
Aman B. Saleem, Laura Busse

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(8), P. 487 - 501

Published: June 28, 2023

Language: Английский

Citations

20

Recent advances in the neuroscience of spontaneous and off-task thought: implications for mental health DOI Open Access
Aaron Kucyi, Julia W. Y. Kam, Jessica R. Andrews‐Hanna

et al.

Nature Mental Health, Journal Year: 2023, Volume and Issue: 1(11), P. 827 - 840

Published: Nov. 2, 2023

Language: Английский

Citations

20

Rastermap: a discovery method for neural population recordings DOI Creative Commons
Carsen Stringer, Lin Zhong, Atika Syeda

et al.

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

Published: July 28, 2023

Abstract Neurophysiology has long progressed through exploratory experiments and chance discoveries. Anecdotes abound of researchers setting up while listening to spikes in real time observing a pattern consistent firing when certain stimuli or behaviors happened. With the advent large-scale recordings, such close observation data become harder because high-dimensional spaces are impenetrable our pattern-finding intuitions. To help ourselves find patterns neural data, lab been openly developing visualization framework known as “Rastermap” over past five years. Rastermap takes advantage new global optimization algorithm for sorting responses along one-dimensional manifold. Displayed raster plot, sorted neurons show variety activity patterns, which can be more easily identified interpreted. We first benchmark on realistic simulations with multiplexed cognitive variables. Then we demonstrate it recordings tens thousands from mouse visual sensorimotor cortex during spontaneous, stimulus-evoked task-evoked epochs, well whole-brain zebrafish widefield calcium imaging population rat hippocampus artificial networks. Finally, illustrate scenarios where similar algorithms cannot used effectively.

Language: Английский

Citations

19

Rationality, preferences, and emotions with biological constraints: it all starts from our senses DOI Creative Commons
Rafael Polanía, Denis Burdakov, Todd A. Hare

et al.

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(3), P. 264 - 277

Published: Feb. 9, 2024

Is the role of our sensory systems to represent physical world as accurately possible? If so, are preferences and emotions, often deemed irrational, decoupled from these 'ground-truth' experiences? We show why answer both questions is 'no'. Brain function metabolically costly, brain loses some fraction information that it encodes transmits. Therefore, if brains maximize objective functions increase fitness their species, they should adapt objective-maximizing rules environment at earliest stages processing. Consequently, observed 'irrationalities', preferences, emotions stem necessity for early process while considering metabolic costs internal states organism.

Language: Английский

Citations

7

Fantastic beasts and how to study them: rethinking experimental animal behavior DOI Creative Commons
Siyu Serena Ding, Jessica L. Fox, Andrew Gordus

et al.

Journal of Experimental Biology, Journal Year: 2024, Volume and Issue: 227(4)

Published: Feb. 15, 2024

ABSTRACT Humans have been trying to understand animal behavior at least since recorded history. Recent rapid development of new technologies has allowed us make significant progress in understanding the physiological and molecular mechanisms underlying behavior, a key goal neuroethology. However, there is tradeoff when studying its biological mechanisms: common protocols laboratory are designed be replicable controlled, but they often fail encompass variability breadth natural behavior. This Commentary proposes framework 10 questions that aim guide researchers incorporating rich context into their experimental design or choosing study system. The cover overarching considerations can provide template for interspecies comparisons, enable develop studies model organisms unlock experiments our quest

Language: Английский

Citations

6

Chaotic neural dynamics facilitate probabilistic computations through sampling DOI Creative Commons
Yu Terada, Taro Toyoizumi

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(18)

Published: April 22, 2024

Cortical neurons exhibit highly variable responses over trials and time. Theoretical works posit that this variability arises potentially from chaotic network dynamics of recurrently connected neurons. Here, we demonstrate neural dynamics, formed through synaptic learning, allow networks to perform sensory cue integration in a sampling-based implementation. We show the emergent provide substrates for generating samples not only static but also dynamical trajectory, where generic recurrent acquire these abilities with biologically plausible learning rule trial error. Furthermore, generalize their experience stimulus-evoked inference without partial or all information, which suggests computational role spontaneous activity as representation priors well tractable biological computation marginal distributions. These findings suggest may serve brain function Bayesian generative model.

Language: Английский

Citations

6

Distributed and specific encoding of sensory, motor, and decision information in the mouse neocortex during goal-directed behavior DOI Creative Commons

Anastasiia Oryshchuk,

Christos Sourmpis,

Julie Weverbergh

et al.

Cell Reports, Journal Year: 2023, Volume and Issue: 43(1), P. 113618 - 113618

Published: Dec. 26, 2023

Goal-directed behaviors involve coordinated activity in many cortical areas, but whether the encoding of task variables is distributed across areas or more specifically represented distinct remains unclear. Here, we compared representations sensory, motor, and decision information whisker primary somatosensory cortex, medial prefrontal tongue-jaw motor cortex mice trained to lick response a stimulus with that were not taught this association. Irrespective learning, properties sensory best encoded whereas fine movement kinematics cortex. However, initiation all three neurons being selective, showing minimal responses miss trials during spontaneous licks. Our results reconcile previous studies indicating highly specific vs. sensorimotor processing.

Language: Английский

Citations

14

Neural mechanisms underlying uninstructed orofacial movements during reward-based learning behaviors DOI Creative Commons
Wanru Li, T. Nakano,

Kohta Mizutani

et al.

Current Biology, Journal Year: 2023, Volume and Issue: 33(16), P. 3436 - 3451.e7

Published: Aug. 1, 2023

During reward-based learning tasks, animals make orofacial movements that globally influence brain activity at the timings of reward expectation and acquisition. These are not explicitly instructed typically appear along with goal-directed behaviors. Here, we show reinforcing optogenetic stimulation dopamine neurons in ventral tegmental area (oDAS) mice is sufficient to induce whiskers nose without accompanying Pavlovian conditioning a sensory cue oDAS elicited cue-locked oDAS-aligned movements, which were distinguishable by machine-learning model. Inhibition or knockout D1 receptors nucleus accumbens inhibited oDAS-induced motion but spared motion, suggesting differential regulation these two types motions. In contrast, inactivation whisker primary motor cortex (wM1) abolished both movements. We found specific neuronal populations wM1 representing either Notably, successfully replicated Our results thus suggest accumbal D1-receptor-dependent -independent signals converge for facilitating distinct uninstructed during task.

Language: Английский

Citations

13

Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region DOI Creative Commons
Aitor Morales-Gregorio,

Anno C. Kurth,

Junji Ito

et al.

Cell Reports, Journal Year: 2024, Volume and Issue: 43(7), P. 114371 - 114371

Published: June 25, 2024

Language: Английский

Citations

5

Facemap: a framework for modeling neural activity based on orofacial tracking DOI Creative Commons
Atika Syeda,

Lin Zhong,

Renee Tung

et al.

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

Published: Nov. 4, 2022

Abstract Recent studies in mice have shown that orofacial behaviors drive a large fraction of neural activity across the brain. To understand nature and function these signals, we need better computational models to characterize relate them activity. Here developed Facemap, framework consisting keypoint tracking algorithm deep network encoder for predicting We used Facemap keypoints as input predict ∼50,000 simultaneously-recorded neurons visual cortex doubled amount explained variance compared previous methods. Our was more accurate than existing pose estimation tools, while inference speed several times faster, making it powerful tool closed-loop behavioral experiments. The tracker easy adapt data from new labs, requiring few 10 annotated frames near-optimal performance. find neuronal clusters which were highly driven by spatially spread-out cortex. also found features inferred model had time-asymmetrical state dynamics not apparent raw data. In summary, provides stepping stone towards understanding brainwide signals their relation behavior.

Language: Английский

Citations

21