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Computational foundations for Neuroscience

Preliminary background

Some resources
A menu of topics
Fundamentals of distance, covariance, and correlation
Stats in Matlab

General linear model (GLM)

General Linear Model (GLM)
Parametric inference in the GLM
Sample dataset and analysis 1: Ashar 2022
Parameterizing models in a GLM
Generalized Least Squares (GLS)
A hand-coded GLM in MATLAB

Mixed effects

Mixed effects: Introduction
Mixed effects: Examples
Mixed effects algebra
Mixed effects simulations

Multivariate statistics

Singular Value Decomposition

Bayesian models

Active inference

Reinforcement Learning

Reinforcement Learning

Natural Language Processing (NLP)

An introduction to natural language processing in Python
Models of text and language

Neural networks

Recurrent Neural networks

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Fundamentals of distance, covariance, and correlation

Fundamentals of distance, covariance, and correlation#

Download the Matlab live script

jupyterbook.org.

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Stats in Matlab

By Tor Wager & others

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