An inhibitory gate for state transition in cortex DOI Creative Commons
Stefano Zucca,

Giulia D’Urso,

Valentina Pasquale

et al.

eLife, Journal Year: 2017, Volume and Issue: 6

Published: May 16, 2017

Large scale transitions between active (up) and silent (down) states during quiet wakefulness or NREM sleep regulate fundamental cortical functions are known to involve both excitatory inhibitory cells. However, if how inhibition regulates these activity is unclear. Using fluorescence-targeted electrophysiological recording cell-specific optogenetic manipulation in anesthetized non-anesthetized mice, we found that two major classes of interneurons, the parvalbumin somatostatin positive cells, tightly control up-to-down down-to-up state transitions. Inhibitory regulation transition was observed under natural optogenetically-evoked conditions. Moreover, perturbative experiments revealed interneuron-type specific. Finally, local small ensembles interneurons affected populations millimetres away from modulated region. Together, results demonstrate potently gates states, reveal cellular mechanisms by which microcircuits at mesoscale.

Language: Английский

Simultaneous two-photon imaging and two-photon optogenetics of cortical circuits in three dimensions DOI Creative Commons
Weijian Yang, Luis Carrillo‐Reid, Yuki Bando

et al.

eLife, Journal Year: 2018, Volume and Issue: 7

Published: Feb. 7, 2018

The simultaneous imaging and manipulating of neural activity could enable the functional dissection circuits. Here we have combined two-photon optogenetics with volumetric calcium to measure manipulate in mouse neocortex vivo three-dimensions (3D) cellular resolution. Using a hybrid holographic approach, simultaneously photostimulate more than 80 neurons over 150 μm depth layer 2/3 visual cortex, while surrounding neurons. We validate usefulness method by photoactivating 3D selected groups interneurons, suppressing response nearby pyramidal stimuli awake animals. Our all-optical approach be used as general platform read write neuronal activity.

Language: Английский

Citations

211

Recruitment of GABAergic Interneurons in the Barrel Cortex during Active Tactile Behavior DOI Creative Commons
Jianing Yu, Hang Hu, Ariel Agmon

et al.

Neuron, Journal Year: 2019, Volume and Issue: 104(2), P. 412 - 427.e4

Published: Aug. 26, 2019

Language: Английский

Citations

196

Prefrontal somatostatin interneurons encode fear memory DOI
Kirstie A. Cummings, Roger L. Clem

Nature Neuroscience, Journal Year: 2019, Volume and Issue: 23(1), P. 61 - 74

Published: Dec. 16, 2019

Language: Английский

Citations

190

Four Unique Interneuron Populations Reside in Neocortical Layer 1 DOI Creative Commons
Benjamin Schuman, Robert Machold,

Yoshiko Hashikawa

et al.

Journal of Neuroscience, Journal Year: 2018, Volume and Issue: 39(1), P. 125 - 139

Published: Nov. 9, 2018

Sensory perception depends on neocortical computations that contextually adjust sensory signals in different internal and environmental contexts. Neocortical layer 1 (L1) is the main target of cortical subcortical inputs provide "top-down" information for context-dependent processing. Although L1 devoid excitatory cells, it contains distal "tuft" dendrites pyramidal cells (PCs) located deeper layers. also a poorly characterized population GABAergic interneurons (INs), which regulate impact top-down have PCs. A poor comprehension IN subtypes how they affect PC activity has hampered our understanding mechanisms underlie contextual modulation We used novel genetic strategies male female mice combined with electrophysiological morphological methods to help resolve differences were unclear when using only and/or approaches. discovered four distinct populations INs, each unique molecular profile, morphology, electrophysiology, including previously overlooked (named here "canopy cells") representing 40% INs. In contrast what observed other layers, most neurons appear be layer, highlighting specialized character signal processing takes place L1. This new INs L1, as well application based markers described here, will enable investigation cellular circuit unprecedented detail.SIGNIFICANCE STATEMENT corticocortical projections mediate or perception. However, this often referred "enigmatic" because its neuronal composition been difficult determine. Using combination genetic, electrophysiological, approaches helped single approach, we able decipher identified distinguish found interneurons, profiles, morphologies, properties. These findings framework studying underlying

Language: Английский

Citations

181

Interneuron Types as Attractors and Controllers DOI
Gord Fishell, Ádám Kepecs

Annual Review of Neuroscience, Journal Year: 2019, Volume and Issue: 43(1), P. 1 - 30

Published: July 12, 2019

Cortical interneurons display striking differences in shape, physiology, and other attributes, challenging us to appropriately classify them. We previously suggested that interneuron types should be defined by their role cortical processing. Here, we revisit the question of how codify diversity based upon division labor function as controllers information flow. suggest developmental trajectories provide a guide for appreciating argue subtype identity is generated using configurational (rather than combinatorial) code transcription factors produce attractor states underlying gene regulatory network. present our updated three-stage model specification: an initial cardinal step, allocating into few major classes, followed definitive refinement, creating subclasses settling within cortex, lastly, state determination, reflecting incorporation functional circuit ensembles. close discussing findings indicating classes are both evolutionarily ancient conserved. propose complexity circuits phylogenetically old types, complemented evolutionary increase principal neuron diversity. This suggests natural neurobiological definition might derived from match between origin computational function.

Language: Английский

Citations

177

Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion DOI Creative Commons
Shuangming Yang,

Jiangtong Tan,

Badong Chen

et al.

Entropy, Journal Year: 2022, Volume and Issue: 24(4), P. 455 - 455

Published: March 25, 2022

The spiking neural network (SNN) is regarded as a promising candidate to deal with the great challenges presented by current machine learning techniques, including high energy consumption induced deep networks. However, there still gap between SNNs and online meta-learning performance of artificial Importantly, existing spike-based models do not target robust based on spatio-temporal dynamics superior theory. In this invited article, we propose novel framework minimum error entropy, called MeMEE, using entropy theory establish gradient-based scheme in recurrent SNN architecture. We examine various types tasks, autonomous navigation working memory test. experimental results show that proposed MeMEE model can effectively improve accuracy robustness performance. More importantly, emphasizes application modern information theoretic approach state-of-the-art algorithms. Therefore, paper, provide new perspectives for further integration advanced SNNs, which could be merit applied developments neuromorphic systems.

Language: Английский

Citations

144

Neocortical Layer 1: An Elegant Solution to Top-Down and Bottom-Up Integration DOI Open Access
Benjamin Schuman,

Shlomo S. Dellal,

Alvar Prönneke

et al.

Annual Review of Neuroscience, Journal Year: 2021, Volume and Issue: 44(1), P. 221 - 252

Published: March 17, 2021

Many of our daily activities, such as riding a bike to work or reading book in noisy cafe, and highly skilled professional playing tennis match violin concerto, depend upon the ability brain quickly make moment-to-moment adjustments behavior response results actions. Particularly, they neocortex integrate information provided by sensory organs (bottom-up information) with internally generated signals expectations attentional (top-down information). This integration occurs pyramidal cells (PCs) their long apical dendrite, which branches extensively into dendritic tuft layer 1 (L1). The outermost neocortex, L1 is conserved across cortical areas species. Importantly, predominant input for top-down information, relayed rich, dense mesh long-range projections that provide PCs. Here, we discuss recent progress understanding composition review evidence processing contributes functions perception, cross-modal integration, controlling states consciousness, attention, learning.

Language: Английский

Citations

128

A transcriptomic axis predicts state modulation of cortical interneurons DOI Creative Commons
Stéphane Bugeon, Joshua Duffield, Mario Dipoppa

et al.

Nature, Journal Year: 2022, Volume and Issue: 607(7918), P. 330 - 338

Published: July 6, 2022

Abstract Transcriptomics has revealed that cortical inhibitory neurons exhibit a great diversity of fine molecular subtypes 1–6 , but it is not known whether these have correspondingly diverse patterns activity in the living brain. Here we show primary visual cortex (V1) correlates with brain state, which are organized by single factor: position along main axis transcriptomic variation. We combined vivo two-photon calcium imaging mouse V1 method to identify mRNA for 72 selected genes ex slices. classified imaged layers 1–3 into three-level hierarchy 5 subclasses, 11 types and 35 using previously defined clusters 3 . Responses stimuli differed significantly only between cells Sncg subclass uniformly suppressed, other subclasses predominantly excited. Modulation state at all hierarchical levels could be largely predicted from first principal component, also correlations simultaneously recorded cells. Inhibitory fired more resting, oscillatory states had smaller fraction their axonal projections layer 1, narrower spikes, lower input resistance weaker adaptation as determined vitro 7 expressed cholinergic receptors. Subtypes during arousal opposite properties. Thus, simple principle may explain how shape state-dependent processing.

Language: Английский

Citations

125

Cortical somatostatin interneuron subtypes form cell-type-specific circuits DOI
Jingjing Sherry Wu, Elaine Sevier, Deepanjali Dwivedi

et al.

Neuron, Journal Year: 2023, Volume and Issue: 111(17), P. 2675 - 2692.e9

Published: June 29, 2023

Language: Английский

Citations

76

Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex DOI Creative Commons
Casey M Schneider-Mizell, Ágnes L. Bodor, Derrick Brittain

et al.

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

Published: Jan. 24, 2023

Mammalian cortex features a vast diversity of neuronal cell types, each with characteristic anatomical, molecular and functional properties. Synaptic connectivity powerfully shapes how type participates in the cortical circuit, but mapping rules at resolution distinct types remains difficult. Here, we used millimeter-scale volumetric electron microscopy 1 to investigate all inhibitory neurons across densely-segmented population 1352 cells spanning layers mouse visual cortex, producing wiring diagram connections more than 70,000 synapses. Taking data-driven approach inspired by classical neuroanatomy, classified based on relative targeting dendritic compartments other developed novel classification excitatory morphological synaptic input The between revealed class disinhibitory specialist basket cells, addition familiar subclasses. Analysis onto found widespread specificity, many interneurons exhibiting differential certain subpopulations spatially intermingled potential targets. Inhibitory was organized into “motif groups,” diverse sets that collectively target both perisomatic same Collectively, our analysis identified new organizing principles for inhibition will serve as foundation linking modern multimodal atlases diagram.

Language: Английский

Citations

60