======================================================================================================
Author: Jason Xanthakis @jasonxanthakis
Supervisor: Dr Padraig Gleeson @pgleeson
This is the repository associated with the research completed for my BSc Neuroscience Year 3 Dissertation.
The focus of the dissertation research is reproducing a multicompartmental model of a human L2/3 neuronal microcircuit, developed by Yao et al 2022, in the form of a rate-based model, using a rate-based model of a mouse V1 microcircuit, developed by Garcia del Molino et al, 2017.
Standardised_MD_Script holds generated datasheets for the following models:
Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties, Etay Hay, Sean Hill, Felix Schürmann, Henry Markram and Idan Segev, PLoS Comp Biol 2011.
Bahl, A., Stemmler, M. B., Herz, A. V. M., & Roth, A. (2012). Automated optimization of a reduced layer 5 pyramidal cell model based on experimental data. Journal of Neuroscience Methods, 210(1), pp. 22-34.
Yao, H.K., Guet-McCreight, A., Mazza, F., Chameh, H.M., Prevot, T.D., Griffiths, J.D., Tripathy, S.J., Valiante, T.A., Sibille, E., Hay, E., 2022. Reduced inhibition in depression impairs stimulus processing in human cortical microcircuits. CellPress, 38(2).
Figures_for_Paper holds figures generated for potential use in the Dissertation Write-Up and Presentation.
del_Molino_Adjusted_For_Yao_Model holds the rate-based model developed in this study, using the following rate-based model as a foundation: