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CSN_Skill
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10.12751/g-node.sbrmy3
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Dataset for precision v. adaptive CSN motor learning

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CSN_Skill
fmarino147 04478d2776 Update 'datacite.yml' 1 year ago
Calcium Imaging ddcec35f01 Delete 'Calcium Imaging/Unskilled_2P/2300_Force.xlsx' 1 year ago
Freely Moving 1c1fe6327f Delete 'Freely Moving/Unskilled/3724_Force.xlsx' 1 year ago
MATLAB Scripts 893b772454 Delete 'MATLAB Scripts/processDFFInitVars.m' 1 year ago
Activity_Correlation.xlsx f060d462e9 Upload files to '' 3 years ago
LICENSE f4321a5755 Initial commit 3 years ago
Pull_Correlation.xlsx f060d462e9 Upload files to '' 3 years ago
Pull_Force.xlsx f060d462e9 Upload files to '' 3 years ago
README.md 5778b8691e Update 'README.md' 1 year ago
Success_Rate.xlsx f060d462e9 Upload files to '' 3 years ago
datacite.yml 04478d2776 Update 'datacite.yml' 1 year ago

README.md

CSN_Learning

Dataset for precision v. adaptive CSN motor learning

2 Photon data set is located in the folder labeled calcium imaging. Individual mouse data sets are organized based on behavioral task: Adaptive, precision, or non-learners. Each individual mouse has a 'DFF' file which contains the raw flourescent traces of all cells at all timepoints used in the final data set. The 'Force' files contain the mototrak voltage outputs from all behavioral sessions analyzed.

Force and DF/F data can be paired by time point and visualized using 'processDFF_Adaptive.m' or 'processDFF_Isopull.m' in MATLAB. The Adaptive script is used for adaptive behavior and isopull is used for both precision and non-learners.

Any force data can be analyzed using the 'free_move_correlation.m' script. This will output the correlation between pulls for the chosen session.

The remaining files in the parent folder contain all the data used to produce the results as they are named. For example, 'Success_Rate.xlsx' contains all the data used for success rate plots.

MATLAB scripts were written and data were processed in version R2020b (MATLAB 9.9)

datacite.yml
Title Task-specific modulation of corticospinal neuron activity during motor learning
Authors Serradj,Najet;Burke Neurological Institute;ORCID:0000-0002-2025-4011
Marino,Francesca;University of California, San Francisco;ORCID:0000-0002-7899-4282
Moreno-López,Yunuen;Burke Neurological Institute;ORCID:0000-0002-4023-849X
Bernstein,Amanda;Burke Neurological Institute;ORCID:0000-0002-6619-4878
Agger,Sydney;HAVAS Production Studios;ORCID:0000-0002-4991-0609
Soliman,Marwa;Burke Neurological Institute;ORCID:0000-0001-7118-4546
Sloan,Andrew;Vulintus, Inc., Lafayette, Colorado, USA;ORCID:0000-0002-1205-0502
Hollis,Edmund;Burke Neurological Institute;ORCID:0000-0002-4535-4668
Description The learning of motor skills relies on plasticity of the primary motor cortex as task acquisition drives the remodeling of cortical motor networks. Large scale cortical remodeling of evoked motor outputs occurs in response to the learning of precise, corticospinal-dependent behavior, but not simple, imprecise tasks. Here we determine the response of corticospinal neurons to both precise and imprecise motor training and assess the role of corticospinal neuron activity in the execution of the trained behaviors.
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References Serradj N, Marino F, et al. (2022) Refinement of corticospinal neuron activity during skilled motor learning. arXiv. https://doi.org/10.1101/2021.03.22.436415 [doi:10.1101/2021.03.22.436415] (IsSupplementTo)
Funding National Institutes of Health; DP2 NS106663
National Institutes of Health; R03 NS103070
Keywords Neuroscience
Calcium Imaging
Motor Learning
Resource Type Dataset