Show simple item record

dc.contributor.author Ryo, Aoki
dc.contributor.author Tadashi, Tsubota
dc.contributor.author Goya, Yuki
dc.contributor.author Benucci, Andrea
dc.coverage.spatial Japan
dc.date.accessioned 2017-11-10T16:54:17Z
dc.date.available 2017-11-10T16:54:17Z
dc.date.issued 2017-10-30
dc.identifier doi:10.5061/dryad.1qv5t
dc.identifier.citation Ryo A, Tadashi T, Goya Y, Benucci A (2017) An automated platform for high-throughput mouse behavior and physiology with voluntary head-fixation. Nature Communications 8: 1196.
dc.identifier.uri http://hdl.handle.net/10255/dryad.155635
dc.description Recording neural activity during animal behavior is a cornerstone of modern brain research. However, integration of cutting-edge technologies for neural-circuit analysis with complex behavioral measurements poses a severe experimental bottleneck for researchers. Critical problems include a lack of standardization for psychometric and neurometric integration, and lack of tools that can generate large, sharable datasets for the research community in a time and cost effective way. Here, we introduce a novel mouse behavioral-learning platform featuring voluntary head fixation and automated high throughput data collection for integrating complex behavioral assays with virtually any physiological device. We provide experimental validation by demonstrating behavioral training of mice in visual discrimination and auditory detection tasks. To examine facile integration with physiology systems, we coupled the platform to a two-photon microscope for imaging of cortical networks at single-cell resolution. Our behavioral learning and recording platform is a prototype for the next generation of mouse cognitive studies.
dc.relation.haspart doi:10.5061/dryad.1qv5t/1
dc.relation.isreferencedby doi:10.1038/s41467-017-01371-0
dc.subject behavioral training
dc.subject automation
dc.title Data from: An automated platform for high-throughput mouse behavior and physiology with voluntary head-fixation
dc.type Article
dwc.ScientificName mouse
dc.contributor.correspondingAuthor Benucci, Andrea
prism.publicationName Nature Communications

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title CAD files
Downloaded 5 times
Description dxf file format
Download CAD files DRYAD.zip (307.9 Kb)
Details View File Details

Search for data

Be part of Dryad

We encourage organizations to: