# Phenotypes classification

**URL:** <https://community.brain-map.org/t/phenotypes-classification/4849>\
**Category:** Allen Cell Types Database\
**Created:** [February 14, 2026, 1:58pm UTC](https://community.brain-map.org/t/phenotypes-classification/4849 "2026-02-14T13:58:53Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![multineurons](https://yyz1.discourse-cdn.com/flex027/user_avatar/community.brain-map.org/multineurons/32/2528_2.png) [@multineurons](https://community.brain-map.org/u/multineurons)\
**Post date:** [February 14, 2026, 1:58pm UTC](https://community.brain-map.org/t/phenotypes-classification/4849/1 "2026-02-14T13:58:53Z")

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Hello,

I am trying to find a tool able to map phenotype to reasonable values of:  
Adaptation Index  
Upstroke:Downstroke  
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.

Thankyou,

Paolo Silvera

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**Author:** ![gouwens](https://avatars.discourse-cdn.com/v4/letter/g/bcef8e/32.png) [@gouwens](https://community.brain-map.org/u/gouwens)\
**Post date:** [February 18, 2026, 7:10pm UTC](https://community.brain-map.org/t/phenotypes-classification/4849/2 "2026-02-18T19:10:14Z")

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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](https://alleninstitute.org/events/mapmyspikes/), which presents algorithms and tools along somewhat similar lines.

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**Author:** ![multineurons](https://yyz1.discourse-cdn.com/flex027/user_avatar/community.brain-map.org/multineurons/32/2528_2.png) [@multineurons](https://community.brain-map.org/u/multineurons)\
**Post date:** [March 26, 2026, 9:50pm UTC](https://community.brain-map.org/t/phenotypes-classification/4849/3 "2026-03-26T21:50:39Z")

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Hello,

thankyou for your kind answer: I’d love to share with you this HH-like neuron model now available

on Zenodo site at this link: [Two-Exponential Neuron Model with Emergent Sigmoid Inactivation and Rich Firing Phenotypes](https://zenodo.org/records/19133651)

it’s a reduced HH model without any if.. then: spikes are biologically correct and many phenotypes have been already validated.

if you’d like to contribute with validation of more phenotypes your kind help would be appreciated.