I am trying to find a tool able to map phenotype to reasonable values of:
Adaptation Index
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Rheobase
Input Resistance
Membrane Time Constant
Max Firing Rate
F/I Slope
The best would be a well trained ANN able to explicitly output the phenotype label in function of input data as voltage gathered and dt.
I am specifically looking for a way to distinguish between Regular Spiking, Fast Spiking, Chattering, Intrinsically Bursting populations in a way that is statistically robust for model validation.
I think it would be difficult to find a pre-made tool that would be able to assign those labels (fast-spiking, regular-spiking, etc.). There are not universally agreed upon (nor universally applicable) quantitative definitions for those categories. You could probably find reasonable classification rules that would apply for cells within a given dataset, but the thresholds for one population of cells may not work for another population even if they have similar qualitative physiological responses.
That said, if you are interested in classification tools based on electrophysiological features, you could look at things like the results of the MapMySpikes competition, which presents algorithms and tools along somewhat similar lines.