This repository contains all the lectures and workshop materials for the workshop conducted during March-April 2020. The goal of this workshop is to teach the basics of different technical skills needed for studying brain science to reverse engineer human brain/intelligence to create more general and intelligent AI's for the future world. It covers a range of topics, including:
- Basic Machine Learning
- Computational Modeling
- Psychophysics, Data Analysis and Experiment Design
The lectures and workshop materials are a combination of links to different online resources plus some additional materials created by Brain and Cognitive Society, IIT Kanpur. Assignments were created by Brain and Cognitive Society, IIT Kanpur.
The complete schedule of the workshop is here
| Topics | Links |
|---|---|
| Basic Python | LINK |
| Machine Learning | LINK |
| Computational Modeling | LINK |
| Psychophysics | LINK |
- Machine Learning Zero to Hero by Laurence Moroney
- MIT 6.S191 Introduction to Deep Learning
- BRAINS, MINDS & MACHINES SUMMER COURSE
- Deeplearning.ai
- Simplilearn
- Introduction to Machine Learning CS771A Autumn 2018
- Engage Wiki
- Practical Psychology
- Wikipedia
- Neuronal Dynamics
- PsyToolkit
Licensed under MIT license. Please reference this github repo if used any of the assignment or lecture material created by Brain and Cognitive Society, IIT Kanpur