MCMC-Generated Neuronal Models for cAC, bNAC, and L5PC Cell Types with Features, Parameters, and Scores

The dataset consists of three CSV files, each corresponding to one neuronal cell type: cAC.csv – continuous accommodating interneurons bNAC.csv – burst non-accommodating interneurons L5PC.csv – layer 5 pyramidal cells In each file, one row corresponds to a single neuronal model generated via Markov Chain Monte Carlo (MCMC) sampling (Arnaudon et al. 2023). The columns include: Feature values – electrophysiological properties extracted from model simulations (e.g., spike frequency adaptation, action potential width). Parameter values – biophysical model parameters (e.g., ion channel conductances, membrane properties). Normalized parameter values – parameter values scaled to facilitate comparison across models and cell types. Cost – quantitative metrics representing the match between simulated and target electrophysiological features.