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Machine Learning II (Outro Lecture)

Difficulty level

This lecture is part of the Neuromatch Academy (NMA), a massive, interactive online summer school held in 2020 that provided participants with experiences spanning from hands-on modeling experience to meta-science interpretation skills across just about everything that could reasonably be included in the label "computational neuroscience". 


This lecture further develops the concepts introduced in Machine Learning I.

Topics covered in this lesson
  • When to use generalized linear models (GLMs): applications to receptive field estimation, single neuron dynamics, population dynamics, disentangling event contributions from firing rates, and decision-making
  • How to interpretation GLMs

Completion of Machine Learning I.