Machine Learning II (Outro Lecture)
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.
- 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.