Scholarlink

<p>Understanding the brain requires understanding neurons’ functional responses to the circuit architecture shaping them. Here we introduce the MICrONS functional connectomics dataset with dense calcium imaging of around 75,000 neurons in primary visual cortex (VISp) and higher visual areas (VISrl, VISal and VISlm) in an awake mouse that is viewing natural and synthetic stimuli. These data are co-registered with an electron microscopy reconstruction containing more than 200,000 cells and 0.5 billion synapses. Proofreading of a subset of neurons yielded reconstructions that include complete dendritic trees as well the local and inter-areal axonal projections that map up to thousands of cell-to-cell connections per neuron. Released as an open-access resource, this dataset includes the tools for data retrieval and analysis<sup><CitationRef CitationID="CR1">1</CitationRef>,<CitationRef CitationID="CR2">2</CitationRef></sup>. Accompanying studies describe its use for comprehensive characterization of cell types<sup><CitationRef AdditionalCitationIDS="CR4 CR5" CitationID="CR3">3</CitationRef>–<CitationRef CitationID="CR6">6</CitationRef></sup>, a synaptic level connectivity diagram of a cortical column<sup><CitationRef CitationID="CR4">4</CitationRef></sup>, and uncovering cell-type-specific inhibitory connectivity that can be linked to gene expression data<sup><CitationRef CitationID="CR4">4</CitationRef>,<CitationRef CitationID="CR7">7</CitationRef></sup>. Functionally, we identify new computational principles of how information is integrated across visual space<sup><CitationRef CitationID="CR8">8</CitationRef></sup>, characterize novel types of neuronal invariances<sup><CitationRef CitationID="CR9">9</CitationRef></sup> and bring structure and function together to uncover a general principle for connectivity between excitatory neurons within and across areas<sup><CitationRef CitationID="CR10">10</CitationRef>,<CitationRef CitationID="CR11">11</CitationRef></sup>.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Functional connectomics spanning multiple areas of mouse visual cortex

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月9日

查看全文
  • J. Alexander Bae,
  • Mahaly Baptiste,
  • Maya R. Baptiste,
  • Caitlyn A. Bishop,
  • Agnes L. Bodor,
  • Derrick Brittain,
  • Victoria Brooks,
  • JoAnn Buchanan,
  • Daniel J. Bumbarger,
  • Manuel A. Castro,
  • Brendan Celii,
  • Erick Cobos,
  • Forrest Collman,
  • Nuno Maçarico da Costa,
  • Bethanny Danskin,
  • Sven Dorkenwald,
  • Leila Elabbady,
  • Paul G. Fahey,
  • Tim Fliss,
  • Emmanouil Froudarakis,
  • Jay Gager,
  • Clare Gamlin,
  • William Gray-Roncal,
  • Akhilesh Halageri,
  • James Hebditch,
  • Zhen Jia,
  • Emily Joyce,
  • Justin Ellis-Joyce,
  • Chris Jordan,
  • Daniel Kapner,
  • Nico Kemnitz,
  • Sam Kinn,
  • Lindsey M. Kitchell,
  • Selden Koolman,
  • Kai Kuehner,
  • Kisuk Lee,
  • Kai Li,
  • Ran Lu,
  • Thomas Macrina,
  • Gayathri Mahalingam,
  • Jordan Matelsky,
  • Sarah McReynolds,
  • Elanine Miranda,
  • Eric Mitchell,
  • Shanka Subhra Mondal,
  • Merlin Moore,
  • Shang Mu,
  • Taliah Muhammad,
  • Barak Nehoran,
  • Erika Neace,
  • Oluwaseun Ogedengbe,
  • Christos Papadopoulos,
  • Stelios Papadopoulos,
  • Saumil Patel,
  • Guadalupe Jovita Yasmin Perez Vega,
  • Xaq Pitkow,
  • Sergiy Popovych,
  • Anthony Ramos,
  • R. Clay Reid,
  • Jacob Reimer,
  • Patricia K. Rivlin,
  • Victoria Rose,
  • Zachary M. Sauter,
  • Casey M. Schneider-Mizell,
  • H. Sebastian Seung,
  • Ben Silverman,
  • William Silversmith,
  • Amy Sterling,
  • Fabian H. Sinz,
  • Cameron L. Smith,
  • Rachael Swanstrom,
  • Shelby Suckow,
  • Marc Takeno,
  • Zheng H. Tan,
  • Andreas S. Tolias,
  • Russel Torres,
  • Nicholas L. Turner,
  • Edgar Y. Walker,
  • Tianyu Wang,
  • Adrian Wanner,
  • Brock A. Wester,
  • Grace Williams,
  • Sarah Williams,
  • Kyle Willie,
  • Ryan Willie,
  • William Wong,
  • Jingpeng Wu,
  • Chris Xu,
  • Runzhe Yang,
  • Dimitri Yatsenko,
  • Fei Ye,
  • Wenjing Yin,
  • Rob Young,
  • Szi-chieh Yu,
  • Daniel Xenes,
  • Chi Zhang

摘要

Understanding the brain requires understanding neurons’ functional responses to the circuit architecture shaping them. Here we introduce the MICrONS functional connectomics dataset with dense calcium imaging of around 75,000 neurons in primary visual cortex (VISp) and higher visual areas (VISrl, VISal and VISlm) in an awake mouse that is viewing natural and synthetic stimuli. These data are co-registered with an electron microscopy reconstruction containing more than 200,000 cells and 0.5 billion synapses. Proofreading of a subset of neurons yielded reconstructions that include complete dendritic trees as well the local and inter-areal axonal projections that map up to thousands of cell-to-cell connections per neuron. Released as an open-access resource, this dataset includes the tools for data retrieval and analysis1,2. Accompanying studies describe its use for comprehensive characterization of cell types3–6, a synaptic level connectivity diagram of a cortical column4, and uncovering cell-type-specific inhibitory connectivity that can be linked to gene expression data4,7. Functionally, we identify new computational principles of how information is integrated across visual space8, characterize novel types of neuronal invariances9 and bring structure and function together to uncover a general principle for connectivity between excitatory neurons within and across areas10,11.