BMM Summer Course - Basic and Computational Neuroscience 2018

Explore the intersection of neuroscience, cognitive science, and computational modeling through this comprehensive summer course from MIT's Center for Brains, Minds and Machines. Master fundamental concepts in basic and cognitive neuroscience while diving deep into advanced neuroimaging techniques including Direct Electrical Stimulation with fMRI and Neural Event Triggered fMRI. Build essential mathematical foundations through tutorials on probability, statistics, linear algebra, and optimization before applying these skills to cutting-edge topics in computational vision, reinforcement learning, and deep learning. Examine how the brain processes visual information through detailed computational models of human vision, learn to decode neural algorithms, and understand attention mechanisms in cognitive processing. Gain hands-on experience with psychophysics methodology, data analysis techniques, and probabilistic programming while exploring the latest developments in the deep learning revolution and its applications to understanding brain function.

Syllabus

Tutorial: Basic Neuroscience
Tutorial: Cognitive Neuroscience
DES-fMRI: Direct Electrical Stimulation and fMRI
Tutorial: Probability
Tutorial: Computational Models of Human Vision - Part 1
Tutorial: Computational Models of Human Vision - Part 2
Tutorial: Statistics and Data Analysis
Tutorial: Computer Vision
Neural Event Triggered fMRI (NET-fMRI)
Tutorial: Using Decoding to Understand Neural Algorithms
Tutorial: Reinforcement Learning
Tutorial: Probabilistic Programming
Tutorial: Psychophysics and Data Analysis
Computational Models of Cognition: Part 1
Computational Models of Cognition: Part 2
Computational Models of Cognition: Part 3
What are you searching for? ... and how do you do it?
Attention
Tutorial: Linear Algebra
Tutorial: Deep Learning
Tutorial: Optimization
The Deep Learning Revolution