Machine Learning II (Outro Lecture)
Machine Learning II (Outro Lecture)
This lecture further develops the concepts introduced in Machine Learning I. This lecture is part of the Neuromatch Academy (NMA), an interactive online computational neuroscience summer school held in 2020.
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
External Links
Prerequisites
Completion of Machine Learning I.
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