Hi👋, today I want to give you a program with which you can start to study computational neuroscience by yourself. I listed all the resources below. Hope you enjoy ❤️ 00:00 - Intro 01:00 - 3 skills for computational neuroscience 01:11 - Programming resources 04:00 - Machine learning 05:01 - Bash code 06:00 - Mathematics resources 08:02 - Physics resources 09:46 - Neuroscience resources 👩‍💻Programming: 100 days of code: https://www.udemy.com/course/100-days-of-code/ Machine Learning: - Christopher Bishop - Pattern recognition and machine learning https://geni.us/ArpR8g2 - Information Theory, Inference, and Learning Algorithms David J.C. MacKay - https://geni.us/vyqyKo - https://www.coursera.org/learn/machine-learning/home/welcome ➕Math: - Introduction to Linear Algebra - gilber strang - https://math.mit.edu/~gs/ - 3blue1brown: Vectors | Chapter 1, Essence of linear algebra 📈Data science and statistics: - Fundamentals of Statistics https://learning.edx.org/course/course-v1:MITx+18.6501x+1T2022/home - Probability - The Science of Uncertainty and Data https://learning.edx.org/course/course-v1:MITx+6.431x+1T2022/home - Naked Statistics: Stripping the Dread from the Data -https://geni.us/H0I61P 👩‍⚕️Physics: Introduction to Electrodynamics - David J. Griffiths - https://geni.us/03Aaz An atomic Boltzmann machine capable of self-adaption - https://www-nature-com.ru.idm.oclc.org/articles/s41565-020-00838-4 Lecture by bert van kappen: https://www.youtube.com/watch?v=t3IYgvq5jNQ 🧠Neuroscience: Nature Reviews Neuroscience and Nature Neuroscience: - Deep learning in alternate reality - Neurons as will and representation Elife - open science journal: - Charting brain growth and aging at high spatial precision Frontiers in neuroscience: - End-to-End Deep Image Reconstruction From Human Brain Activity 🎵 Music: Epidemic Sound - https://share.epidemicsound.com/ndkqqq 🐦 Twitter: https://twitter.com/CFraza