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.

Keywords:
Degeneracy, Computational modelling, Serotonin, Dopamine, Reward and punishment
Subjects:
Cell biology

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

GitHub repository

Creators

Chandan K. Behera
University of Ulster

Alok Joshi
University of Bath

Da-Hui Wang
Beijing Normal University

Trevor Sharp
University of Oxford

KongFatt Wong-Lin
University of Ulster

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
https://doi.org/10.13039/501100000268

Large-scale recording and computational modelling of midbrain raphe microcircuitry during emotional learning
BB/P003427/1

NSFC International Exchange Grant

European Cooperation in Science and Technology
https://doi.org/10.13039/501100000921

Open Multiscale Systems Medicine (OpenMultiMed)
CA15120

Northern Ireland Functional Brain Mapping Facility
1303/101154803

Invest Northern Ireland
https://doi.org/10.13039/100013360

Northern Ireland Functional Brain Mapping Facility
1303/101154803

National Natural Science Foundation of China
https://doi.org/10.13039/501100001809

Grant
32171094

National Natural Science Foundation of China
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

Departments:

Faculty of Science
Computer Science