This tutorial covers Generalized Linear Models (GLMs), which are a fundamental framework for supervised learning. In this tutorial, the objective is to model a retinal ganglion cell spike train by fitting a temporal receptive field: first with a Linear-Gaussian GLM (also known as ordinary least-squares regression model) and then with a Poisson GLM (aka "Linear-Nonlinear-Poisson" model). This tutorial also covers a special case of GLMs, logistic regression, and learn how to ensure good model performance. This tutorial is designed to run with retinal ganglion cell spike train data from Uzzell & Chichilnisky 2004.

In this video, Tony Southall explains how the targeted DamID technique can be used to study gene expression and epigenetics in the developing and adult nervous systems.

In this video, Amanda Sierra talks about the roles of microglia in brain physiology, including constant synapse monitoring and contribution to adult neurogenesis, to highlight the important functions of microglia in the healthy adult brain.

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.