Building a Random Forest Classifier to Predict Neural Spikes

A step-by-step guide to building a Random Forest classifier in Python to predict subtypes of real neural extracellular spikes.

Given the heterogeneity of neurons within the human brain itself, classification tools are commonly utilised to correlate electrical activity with different cell types and/or morphologies. This is a long-standing question in Neuroscience circles, and can be considerably variable between different species, pathologies, brain regions and layers. Fortunately, with the readily increasing computational power allowing improvements …

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