Public Dandisets

A detailed behavioral, videographic, and neural dataset on object recognition in mice

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DOI: 10.48324/dandi.000231/0.220904.1554
ID: 0002310.220904.1554
Contact Rodgers, Chris
File Count 4228
Size 1.8 TiB
Created September 4, 2022
Last update September 4, 2022
Licenses: spdx:CC0-1.0
Access Information: dandi:OpenAccess

Mice adeptly use their whiskers to touch, recognize, and learn about objects in their environment. This behavior is enabled by computations performed by populations of neurons in the somatosensory cortex. To understand these computations, we trained mice to use their whiskers to recognize different shapes while we recorded activity in the barrel cortex, which processes whisker input. Here, we...

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Keywords:
mouse behavior
whisker system
somatosensory cortex
barrel cortex
object recognition
shape discrimination
electrophysiology
pose tracking
population recordings
single unit recordings
Contributors
Rodgers, Chris ORCID logo
Funding information
Kavli Foundation
- Award Number: S-2021-GR-040
Brain & Behavior Research Foundation
- Award Number: 28667
NIH/NINDS
- Award Number: F32NS096819
Related resources
A detailed behavioral, videographic, and neural dataset on object recognition in mice
ID: 10.1101/2022.05.10.491259
Repo: bioRxiv
Relation: dcite:Describes
Companion code
Repo: github
Relation: dcite:Describes
Assets Summary
Species
Mus musculus - House mouse
Approach
behavioral approach
electrophysiological approach
Data Standard
Neurodata Without Borders (NWB)
RRID:SCR_015242
Number Of Subjects
15
Variable Measured
BehavioralTimeSeries
BehavioralEvents
ProcessingModule
Units
ElectrodeGroup
ElectricalSeries
Measurement Technique
analytical technique
behavioral technique
multi electrode extracellular electrophysiology recording technique
surgical technique
spike sorting technique
Dandiset Actions
Files
Owners
Chris Rodgers
Versions
0.220904.1554
Sep 4, 2022