Code and data for "Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration"
Degeneracy of a neural circuit is the ability of the neural circuit to produce the same output despite being structurally different. Our model gives an insight into the possibility of degeneracy at the source level of the neural circuits, i.e. at the level of neuromodulators. This dataset contains code and data to plot activity profiles of a particular model and compute the maximum percentage of deviations of the activity profiles of neuronal populations of a particular model, from their experimental values; to generate activity profiles as per the experimental outcomes in the associated paper; and to perform stability analysis for the models described in the manuscript, both individually and together.
Cite this dataset as:
Behera, C.,
Joshi, A.,
Wang, D.,
Sharp, T.,
Wong-Lin, K.,
2023.
Code and data for "Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01266.
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Data
Source Data_Fig.3a.xlsb
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (20MB)
Source data for Figure 3a in the paper
Source Data_Fig.5a.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (9kB)
Source data for Figure 5a in the paper
Source Data_Fig5b.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (10kB)
Source Data for Figure 5b in the paper
Table model nos_condition.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (22kB)
Degenerate DRN-VTA model numbers and architectures based on specific connectivity and 5-HT neuronal types and reward/punishment task
Code
Behera_etal_Data_Codes.zip
application/zip (7MB)
MATLAB source code for reproducing the results in the paper and supplementary information
Creators
Chandan K. Behera
Ulster University
Alok Joshi
University of Bath
Da-Hui Wang
Beijing Normal University
Trevor Sharp
University of Oxford
KongFatt Wong-Lin
Ulster University
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
Please see the associated paper.
Additional information:
These files correspond to commit 7ed2e5f in the Git repository.
Documentation Files
Table translating … variables.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (30kB)
Definitions of the variables used in the paper
Readme.txt
text/plain (3kB)
Instructions for running the MATLAB code
Funders
Biotechnology and Biological Sciences Research Council (BBSRC)
https://doi.org/10.13039/501100000268
Large-scale recording and computational modelling of midbrain raphe microcircuitry during emotional learning
BB/P003427/1
Royal Society
https://doi.org/10.13039/501100000288
NSFC International Exchanges
European Cooperation in Science and Technology (COST)
https://doi.org/10.13039/501100000921
Ulster University (UU)
https://doi.org/10.13039/501100001632
Northern Ireland Functional Brain Mapping Facility
1303/101154803
Invest Northern Ireland (Invest NI)
https://doi.org/10.13039/100013360
Northern Ireland Functional Brain Mapping Facility
1303/101154803
National Natural Science Foundation of China (NSFC)
https://doi.org/10.13039/501100001809
Grant
32171094
National Natural Science Foundation of China (NSFC)
https://doi.org/10.13039/501100001809
Grant
31511130066
Publication details
Publication date: 25 January 2023
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01266
URL for this record: https://researchdata.bath.ac.uk/id/eprint/1266
Related papers and books
Behera, C. K., Joshi, A., Wang, D.-H., Sharp, T., and Wong-Lin, K., 2023. Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration. Frontiers in Computational Neuroscience, 16. Available from: https://doi.org/10.3389/fncom.2022.950489.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Alok Joshi
Faculty of Science
Computer Science
