当前位置:科学网首页 > 小柯机器人 >详情
小鼠视觉系统中的脉冲研究揭示大脑的功能层次体系
作者:小柯机器人 发布时间:2021/1/22 16:29:55

美国艾伦脑科学研究所Shawn R. Olsen等研究人员合作通过小鼠视觉系统中的脉冲研究揭示出大脑的功能层次体系。这一研究成果于2021年1月20日在线发表在国际学术期刊《自然》上。

研究人员报道了一个庞大的开放式数据集(属于Allen Brain Observatory的一部分),该数据集是对响应于一系列视觉刺激的小鼠大脑六个皮层和两个丘脑区域中成千上万个单位的突波进行调查的。通过使用互相关分析,研究人员揭示了视觉刺激过程中区域间功能连接的组织反映了Allen Mouse Brain Connectivity Atlas的解剖层次。

研究人员发现,以下四个经典的分层度量都与该层次相关:响应等待时间、接收场大小、对漂移光栅的锁相和响应衰减时标。此外,在视觉任务期间获得的记录表明,神经活动与行为选择之间的相关性也沿着层次结构增加。这项研究为理解编码和信号在分层组织的皮层和丘脑视觉区域中的传播提供了基础。

据悉,从视网膜到新皮层的哺乳动物视觉系统的解剖结构是分层组织的。但是,由于在多个区域同时记录活动的困难性,目前仍缺乏直接观察整个层次上细胞水平功能相互作用的方法。

附:英文原文

Title: Survey of spiking in the mouse visual system reveals functional hierarchy

Author: Joshua H. Siegle, Xiaoxuan Jia, Sverine Durand, Sam Gale, Corbett Bennett, Nile Graddis, Greggory Heller, Tamina K. Ramirez, Hannah Choi, Jennifer A. Luviano, Peter A. Groblewski, Ruweida Ahmed, Anton Arkhipov, Amy Bernard, Yazan N. Billeh, Dillan Brown, Michael A. Buice, Nicolas Cain, Shiella Caldejon, Linzy Casal, Andrew Cho, Maggie Chvilicek, Timothy C. Cox, Kael Dai, Daniel J. Denman, Saskia E. J. de Vries, Roald Dietzman, Luke Esposito, Colin Farrell, David Feng, John Galbraith, Marina Garrett, Emily C. Gelfand, Nicole Hancock, Julie A. Harris, Robert Howard, Brian Hu, Ross Hytnen, Ramakrishnan Iyer, Erika Jessett, Katelyn Johnson, India Kato, Justin Kiggins, Sophie Lambert, Jerome Lecoq, Peter Ledochowitsch, Jung Hoon Lee, Arielle Leon, Yang Li, Elizabeth Liang, Fuhui Long, Kyla Mace, Jose Melchior, Daniel Millman, Tyler Mollenkopf, Chelsea Nayan, Lydia Ng, Kiet Ngo, Thuyahn Nguyen, Philip R. Nicovich, Kat North, Gabriel Koch Ocker, Doug Ollerenshaw, Michael Oliver, Marius Pachitariu, Jed Perkins, Melissa Reding, David Reid, Miranda Robertson, Kara Ronellenfitch, Sam Seid, Cliff Slaughterbeck, Michelle Stoecklin, David Sullivan

Issue&Volume: 2021-01-20

Abstract: The anatomy of the mammalian visual system, from the retina to the neocortex, is organized hierarchically1. However, direct observation of cellular-level functional interactions across this hierarchy is lacking due to the challenge of simultaneously recording activity across numerous regions. Here we describe a large, open dataset—part of the Allen Brain Observatory2—that surveys spiking from tens of thousands of units in six cortical and two thalamic regions in the brains of mice responding to a battery of visual stimuli. Using cross-correlation analysis, we reveal that the organization of inter-area functional connectivity during visual stimulation mirrors the anatomical hierarchy from the Allen Mouse Brain Connectivity Atlas3. We find that four classical hierarchical measures—response latency, receptive-field size, phase-locking to drifting gratings and response decay timescale—are all correlated with the hierarchy. Moreover, recordings obtained during a visual task reveal that the correlation between neural activity and behavioural choice also increases along the hierarchy. Our study provides a foundation for understanding coding and signal propagation across hierarchically organized cortical and thalamic visual areas.

DOI: 10.1038/s41586-020-03171-x

Source: https://www.nature.com/articles/s41586-020-03171-x

期刊信息

Nature:《自然》,创刊于1869年。隶属于施普林格·自然出版集团,最新IF:43.07
官方网址:http://www.nature.com/
投稿链接:http://www.nature.com/authors/submit_manuscript.html