Mesotrode: chronic simultaneous mesoscale cortical imaging and subcortical or peripheral nerve spiking activity recording in mice DOI Creative Commons
Dongsheng Xiao, Yuhao Yan, Timothy H. Murphy

и другие.

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

Опубликована: Фев. 3, 2023

Abstract Brain function originates from hierarchical spatial-temporal neural dynamics distributed across cortical and subcortical networks. However, techniques available to assess large-scale brain network activity with single-neuron resolution in behaving animals remain limited. Here we present Mesotrode that integrates chronic wide-field mesoscale imaging compact multi-site cortical/subcortical cellular electrophysiology head-fixed mice undergo self-initiated running or orofacial movements. Specifically, harnessed the flexibility of tetrode recordings monitor multiple structures while simultaneously entire dorsal cortex. A spike-triggered averaging procedure allowed identification motifs preferentially associated spiking. Using this approach, were able characterize single-neuron-related functional connectivity maps for up 60 days post-implantation. Neurons recorded distinct display diverse but segregated maps, suggesting neurons different origins participate cortico-subcortical pathways. We extended capability by implanting micro-electrode at facial motor nerve found spiking is functionally PTA, RSP, M2 network, optogenetic inhibition PTA area significantly reduced movement mice. These findings demonstrate can be used sample combinations networks over prolonged periods, generating multimodal multi-scale a single implant, offering new insights into mechanisms underlying specific behaviors.

Язык: Английский

Continual task learning in natural and artificial agents DOI Creative Commons
Timo Flesch, Andrew Saxe, Christopher Summerfield

и другие.

Trends in Neurosciences, Год журнала: 2023, Номер 46(3), С. 199 - 210

Опубликована: Янв. 20, 2023

How do humans and other animals learn new tasks? A wave of brain recording studies has investigated how neural representations change during task learning, with a focus on tasks can be acquired coded in ways that minimise mutual interference. We review recent work explored the geometry dimensionality neocortex, computational models have exploited these findings to understand may partition knowledge between tasks. discuss ideas from machine including those combine supervised unsupervised are helping neuroscientists natural learned biological brains.

Язык: Английский

Процитировано

28
Single neurons in the human medial temporal lobe flexibly shift representations across spatial and memory tasks DOI Creative Commons
Thomas Donoghue, Runnan Cao, Claire Z. Han

и другие.

Hippocampus, Год журнала: 2023, Номер 33(5), С. 600 - 615

Опубликована: Апрель 15, 2023

Investigations into how individual neurons encode behavioral variables of interest have revealed specific representations in single neurons, such as place and object cells, well a wide range cells with conjunctive encodings or mixed selectivity. However, most experiments examine neural activity within tasks, it is currently unclear if change across different task contexts. Within this discussion, the medial temporal lobe particularly salient, known to be important for multiple behaviors including spatial navigation memory, however relationship between these functions unclear. Here, investigate vary contexts lobe, we collected analyzed single-neuron from human participants they completed paired-task session consisting passive-viewing visual working memory task. Five patients contributed 22 sessions, which were spike sorted together allow same putative compared tasks. each task, replicated concept-related activations target-location serial-position responsive When comparing neuronal first established that significant number maintained kind representation, responding stimuli presentations Further, found changed nature their representation stimulus responded serial position Overall, our results support flexible encoding multiple, distinct aspects tasks by whereby some feature coding

Язык: Английский

Процитировано

20
Centering cognitive neuroscience on task demands and generalization DOI
Matthias Nau, Alexandra C. Schmid, Simon M. Kaplan

и другие.

Nature Neuroscience, Год журнала: 2024, Номер 27(9), С. 1656 - 1667

Опубликована: Июль 29, 2024

Язык: Английский

Процитировано

8
Tracking neurons across days with high-density probes DOI Creative Commons
Enny H. van Beest, Célian Bimbard, Julie MJ Fabre

и другие.

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

Опубликована: Окт. 16, 2023

Summary Neural activity spans multiple scales from milliseconds to months. Its evolution can be recorded with chronic electrodes, and especially high-density arrays such as Neuropixels probes, which measure each spike at tens of sites record hundreds neurons. These often units consistent waveforms over time, but produce vast amounts data that require new approaches for tracking neurons across recordings. To meet this need, we developed UnitMatch, an open-access pipeline operates after sorting, based only on unit’s average waveform. We tested UnitMatch in recordings the mouse brain, where it tracked weeks. In visual cortex, a neuron’s selectivity stimuli correlation other remained stable days. striatum, neuronal responses changed days during learning task. is thus promising tool reveal invariance or plasticity neural

Язык: Английский

Процитировано

16
Tracking neurons across days with high-density probes DOI Creative Commons
Enny H. van Beest, Célian Bimbard, Julie MJ Fabre

и другие.

Nature Methods, Год журнала: 2024, Номер unknown

Опубликована: Сен. 27, 2024

Язык: Английский

Процитировано

6
Signatures of task learning in neural representations DOI
Harsha Gurnani, N. Alex Cayco-Gajic

Current Opinion in Neurobiology, Год журнала: 2023, Номер 83, С. 102759 - 102759

Опубликована: Сен. 12, 2023

Язык: Английский

Процитировано

11
Prefrontal Cortex Encodes Behavior States Decoupled from Movement DOI
Ida V. Rautio, Fredrik Nevjen, Ingeborg Gullikstad Hem

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Mesoscale functional architecture in medial posterior parietal cortex DOI Open Access
Riichiro Hira, L. B. TOWNSEND, Ikuko T. Smith

и другие.

Опубликована: Фев. 7, 2025

The posterior parietal cortex ( PPC ) in mice has various functions including multisensory integration 1–3 , vision-guided behaviors 4–6 working memory 7–13 and posture control 14,15 . However, an integrated understanding of these their cortical localizations around the higher visual areas HVAs ), not been completely elucidated. Here we simultaneously imaged activity thousands neurons within a 3 x mm 2 field-of-view, eight PPC, during behavior with two-photon mesoscope 16 Mice performed both task choice history-dependent task, imaging results revealed distinct, localized, behavior-related two medial areas. Neurons anteromedial AM HVA responded to vision information, thus is locus association between channels. By contrast, anterior A stores history sequential dynamics represents posture. Mesoscale correlation analysis on intertrial variability neuronal demonstrated that area shared fluctuations primary somatosensory area, while exhibited diverse, area-dependent interactions. Pairwise interarea interactions among were precisely predicted by anatomical input correlations, exception some global Thus, distinct modules, AM, which each have distinctive modes communication. These modules can serve separate higher-order functions: for transmission information posture, movement, memory; cognitive locally processed signals.

Язык: Английский

Процитировано

0
Mesoscale functional architecture in medial posterior parietal cortex DOI Open Access
Riichiro Hira, L. B. TOWNSEND, Ikuko T. Smith

и другие.

Опубликована: Фев. 7, 2025

The posterior parietal cortex ( PPC ) in mice has various functions including multisensory integration 1–3 , vision-guided behaviors 4–6 working memory 7–13 and posture control 14,15 . However, an integrated understanding of these their cortical localizations around the higher visual areas HVAs ), not been completely elucidated. Here we simultaneously imaged activity thousands neurons within a 3 x mm 2 field-of-view, eight PPC, during behavior with two-photon mesoscope 16 Mice performed both task choice history-dependent task, imaging results revealed distinct, localized, behavior-related two medial areas. Neurons anteromedial AM HVA responded to vision information, thus is locus association between channels. By contrast, anterior A stores history sequential dynamics represents posture. Mesoscale correlation analysis on intertrial variability neuronal demonstrated that area shared fluctuations primary somatosensory area, while exhibited diverse, area-dependent interactions. Pairwise interarea interactions among were precisely predicted by anatomical input correlations, exception some global Thus, distinct modules, AM, which each have distinctive modes communication. These modules can serve separate higher-order functions: for transmission information posture, movement, memory; cognitive locally processed signals.

Язык: Английский

Процитировано

0
Environmental context influences visual processing in thalamus DOI
Kayla Peelman, Bilal Haider

Current Biology, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0