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Directly measuring synaptic and population coupling in cortex during perception The cerebral cortex is the defining brain structure of mammals and underlies our most complex sensory behaviors. A major need exists to identify how synaptic and network mechanisms in cortex lead to normal and impaired sensory perception and behavior. A prevailing model of cortical function postulates that synaptic excitation (E) and inhibition (I) exhibit a stable balance (E/I balance) that is disrupted during sensory impairments and neurodevelopmental diseases. Currently, there is no knowledge regarding synaptic E/I balance during sensory perception, nor its relationship to large-scale neural network activity. We are uniquely positioned to bridge this critical knowledge gap with an innovative combination of whole-cell patch-clamp and large-scale population recordings of defined excitatory and inhibitory neurons during visual perception in mice. This multi- scale approach will enable us to 1) Define how excitatory and inhibitory neuron populations spanning cortical layers predict the accuracy of visual perception 2) Reveal synaptic mechanisms that underlie visual perception 3) Define the relationship between excitatory and inhibitory population activity and synaptic mechanisms engaged by visual perception. SIGNIFICANCE. This project will meet a significant need to understand how excitatory and inhibitory activity in cortex is coordinated at the synaptic, network, and behavioral levels to support sensory perception. It is imperative to understand these processes in individual neurons, networks, and their synaptic inputs during behavior, so that we may better comprehend how to rectify sensory processing deficits characteristic of many neurological and neurodevelopmental disorders. INNOVATION. This project will provide innovative measurements and analysis of the relationship between single-neuron synaptic inputs and large-scale neural network activity during controlled perceptual behaviors. This combination of techniques will allow critical assessment of long-standing theories of cortical function (E/I balance) that require validation in relevant behavioral contexts. These results will provide conceptual innovation by detailing how inhibition sculpts and coordinates excitatory activity in cortex to orchestrate perceptual behaviors.
期刊论文(5)
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会议论文
DOI: 10.1016/j.cub.2021.06.094
发表时间: 2021-09-27
期刊: Current biology : CB
影响因子: --
作者: [Williams B, Del Rosario J, Muzzu T, Peelman K, Coletta S, Bichler EK, Speed A, Meyer-Baese L, Saleem AB, Haider B]
通讯作者: Haider B
DOI: 10.1016/j.tins.2021.07.009
发表时间: 2021-10
期刊: Trends in neurosciences
影响因子: 15.9
作者: [Speed A, Haider B]
通讯作者: Haider B
DOI: 10.1038/s41598-022-05932-2
发表时间: 2022-02-08
期刊: Scientific reports
影响因子: 4.6
作者: [Nsiangani A, Del Rosario J, Yeh AC, Shin D, Wells S, Lev-Ari T, Williams B, Haider B]
通讯作者: Haider B
Cortical State Fluctuations across Layers of V1 during Visual Spatial Perception.
视觉空间感知过程中 V1 层的皮质状态波动。
DOI: 10.1016/j.celrep.2019.02.045
发表时间: 2019
期刊: Cell reports
影响因子: 8.8
作者: [Speed,Anderson, DelRosario,Joseph, Burgess,ChristopherP, Haider,Bilal]
通讯作者: Haider,Bilal
Tracking Flow of Attention in Visual Circuits Across the Brain
  • 批准号:
    10665957
  • 项目类别:
  • 资助金额:
    $141.38万
  • 财政年份:
    2023
  • 负责人:
    Bilal Haider
  • 依托单位:
Circuit and Synaptic Mechanisms of Visual Spatial Attention
  • 批准号:
    10472068
  • 项目类别:
  • 资助金额:
    $43.67万
  • 财政年份:
    2018
  • 负责人:
    Bilal Haider
  • 依托单位:
Circuit and Synaptic Mechanisms of Visual Spatial Attention
  • 批准号:
    9983218
  • 项目类别:
  • 资助金额:
    $43.67万
  • 财政年份:
    2018
  • 负责人:
    Bilal Haider
  • 依托单位:
Circuit and Synaptic Mechanisms of Visual Spatial Attention
  • 批准号:
    10231187
  • 项目类别:
  • 资助金额:
    $43.67万
  • 财政年份:
    2018
  • 负责人:
    Bilal Haider
  • 依托单位:
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