Pan-cortical 2-photon mesoscopic imaging and neurobehavioral alignment in awake, behaving mice DOI Creative Commons
Evan D. Vickers, David A. McCormick

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Окт. 23, 2023

The flow of neural activity across the neocortex during active sensory discrimination is constrained by task-specific cognitive demands, movements, and internal states. During behavior, brain appears to sample from a broad repertoire activation motifs. Understanding how these patterns local global are selected in relation both spontaneous task-dependent behavior requires in-depth study densely sampled at single neuron resolution large regions cortex. In significant advance toward this goal, we developed procedures record mesoscale 2-photon Ca

Язык: Английский

Performance errors during rodent learning reflect a dynamic choice strategy DOI
Ziyi Zhu, Kishore V. Kuchibhotla

Current Biology, Год журнала: 2024, Номер 34(10), С. 2107 - 2117.e5

Опубликована: Апрель 26, 2024

Язык: Английский

Процитировано

10

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

Juan Luis Ugarte Nunez

и другие.

Nature Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Фев. 4, 2025

Язык: Английский

Процитировано

1

Orexin population activity precisely reflects net body movement across behavioral and metabolic states DOI Open Access

Alexander L Tesmer,

Paulius Viskaitis,

Dane Donegan

и другие.

Опубликована: Фев. 7, 2025

Tracking net body movement in real time may enable the brain to estimate ongoing demands and thus better orchestrate muscle tone, energy balance, arousal. To identify neural populations specializing tracking movement, here we compared self-initiated movement-related activity across genetically-defined subcortical neurons mouse brain, including dopaminergic, glutamatergic, noradrenergic, key peptidergic neurons. We show that hypothalamic orexin/hypocretin-producing (HONs) are exceptionally precise movement-trackers, encoding multiple classified behaviors with a high degree of precision, independent head acceleration. This was so precise, video analysis reliably served as low-cost biometric for HON population activity. The internal nutritional states, occurred communication bandwidth distinct from blood glucose. At projection targets, orexin/hypocretin peptide outputs correlated projection-specific manner, indicating functional heterogeneity outputs. Finally, found not encoded same extent other related arousal or energy. These findings indicate orchestrators metabolism finely tuned encode constituting bridge multiplexing motor resources.

Язык: Английский

Процитировано

0

Orexin population activity precisely reflects net body movement across behavioral and metabolic states DOI Open Access

Alexander L Tesmer,

Paulius Viskaitis,

Dane Donegan

и другие.

Опубликована: Фев. 7, 2025

Tracking net body movement in real time may enable the brain to estimate ongoing demands and thus better orchestrate muscle tone, energy balance, arousal. To identify neural populations specializing tracking movement, here we compared self-initiated movement-related activity across genetically-defined subcortical neurons mouse brain, including dopaminergic, glutamatergic, noradrenergic, key peptidergic neurons. We show that hypothalamic orexin/hypocretin-producing (HONs) are exceptionally precise movement-trackers, encoding multiple classified behaviors with a high degree of precision, independent head acceleration. This was so precise, video analysis reliably served as low-cost biometric for HON population activity. The internal nutritional states, occurred communication bandwidth distinct from blood glucose. At projection targets, orexin/hypocretin peptide outputs correlated projection-specific manner, indicating functional heterogeneity outputs. Finally, found not encoded same extent other related arousal or energy. These findings indicate orchestrators metabolism finely tuned encode constituting bridge multiplexing motor resources.

Язык: Английский

Процитировано

0

Deciphering neuronal variability across states reveals dynamic sensory encoding DOI Creative Commons
Shailaja Akella, Peter Ledochowitsch, Joshua H. Siegle

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Фев. 19, 2025

Язык: Английский

Процитировано

0

Pan-cortical 2-photon mesoscopic imaging and neurobehavioral alignment in awake, behaving mice DOI Creative Commons
Evan D. Vickers, David A. McCormick

eLife, Год журнала: 2024, Номер 13

Опубликована: Янв. 23, 2024

The flow of neural activity across the neocortex during active sensory discrimination is constrained by task-specific cognitive demands, movements, and internal states. During behavior, brain appears to sample from a broad repertoire activation motifs. Understanding how these patterns local global are selected in relation both spontaneous task-dependent behavior requires in-depth study densely sampled at single neuron resolution large regions cortex. In significant advance toward this goal, we developed procedures record mesoscale 2-photon Ca2+ imaging data two novel vivo preparations that, between them, allow for simultaneous access nearly all 0f mouse dorsal lateral neocortex. As proof principle, aligned with behavioral primitives high-level motifs reveal existence populations neurons that coordinated their cortical areas changes movement and/or arousal. methods detail here facilitate identification exploration widespread, spatially heterogeneous ensembles whose related diverse aspects behavior.

Язык: Английский

Процитировано

3

Modulation of metastable ensemble dynamics explains optimal coding at moderate arousal in auditory cortex DOI Creative Commons
Lia Papadopoulos, Su‐Hyun Jo, Kevin Zumwalt

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Апрель 5, 2024

Performance during perceptual decision-making exhibits an inverted-U relationship with arousal, but the underlying network mechanisms remain unclear. Here, we recorded from auditory cortex (A1) of behaving mice passive tone presentation, while tracking arousal via pupillometry. We found that discriminability in A1 ensembles was optimal at intermediate revealing a population-level neural correlate relationship. explained this arousal-dependent coding using spiking model clustered architecture. Specifically, show stimulus is achieved near transition between multi-attractor phase metastable cluster dynamics (low arousal) and single-attractor (high arousal). Additional signatures include arousal-induced reductions overall variability extent stimulus-induced quenching, which observed empirical data. Our results elucidate computational principles interactions pupil-linked sensory processing, variability, suggest role for transitions explaining nonlinear modulations cortical computations.

Язык: Английский

Процитировано

3

Spontaneous movements and their impact on neural activity fluctuate with latent engagement states DOI Creative Commons
Chaoqun Yin, Maxwell D Melin, Gabriel Rojas-Bowe

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июнь 26, 2023

Existing work demonstrates that animals alternate between engaged and disengaged states during perceptual decision-making. To understand the neural signature of these states, we performed cortex-wide measurements activity in mice making auditory decisions. The trial-averaged magnitude was similar two states. However, trial-to-trial variance higher disengagement. this increased variance, trained separate linear encoding models on data from each state. demonstrated although task variables task-aligned movements impacted similarly are independent events explained more Behavioral analyses uncovered disengagement, become uncoupled to events. Taken together, results argue though obscured activity, is evident variability driven by changing patterns spontaneous movements.

Язык: Английский

Процитировано

5

Bayesian Inference of Hidden Cognitive Performance and Arousal States in Presence of Music DOI Creative Commons
Saman Khazaei, Md. Rafiul Amin,

Maryam Tahir

и другие.

IEEE Open Journal of Engineering in Medicine and Biology, Год журнала: 2024, Номер 5, С. 627 - 636

Опубликована: Янв. 1, 2024

Goal: Poor arousal management may lead to reduced cognitive performance. Specifying a model and decoder infer the performance contributes regulation via non-invasive actuators such as music. xmlns:xlink="http://www.w3.org/1999/xlink">Methods: We employ Bayesian filtering approach within an expectation-maximization framework track hidden states during $n$ -back task in presence of calming exciting decode from skin conductance behavioral signals, respectively. derive arousal-performance based on Yerkes-Dodson law. design performance-based by considering corresponding observation. xmlns:xlink="http://www.w3.org/1999/xlink">Results: The quantified are presented. existence law can be interpreted relationship. Findings display higher matrices xmlns:xlink="http://www.w3.org/1999/xlink">Conclusions: has better agreement with Our study implemented designing closed-loop systems.

Язык: Английский

Процитировано

1

From innate to instructed: A new look at perceptual decision-making DOI Creative Commons
Lukas T. Oesch, Michael Ryan, Anne K. Churchland

и другие.

Current Opinion in Neurobiology, Год журнала: 2024, Номер 86, С. 102871 - 102871

Опубликована: Апрель 3, 2024

Understanding how subjects perceive sensory stimuli in their environment and use this information to guide appropriate actions is a major challenge neuroscience. To study perceptual decision-making animals, researchers tasks that either probe spontaneous responses (often described as "naturalistic") or train animals associate with experimenter-defined responses. Spontaneous decisions rely on animals' pre-existing knowledge, while trained offer greater versatility, albeit often at the cost of extensive training. Here, we review emerging approaches investigate using both behaviors, highlighting strengths limitations. Additionally, propose could be improved achieve faster learning more generalizable understanding task rules.

Язык: Английский

Процитировано

1