Hello, today I want to introduce you to a program with which you can start studying computational neuroscience on your own. I have listed all the resources below. Hope you enjoy️

00:00 – Introduction
01:00 – 3 skills for computational neuroscience
01:11 – Programming resources
04:00 – Machine learning
05:01 – Low code
06:00 – Mathematical resources
08:02 – Physical 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 JC MacKay – https://geni.us/vyqyKo
– https://www.coursera.org/learn/machine-learning/home/welcome

Mathematics:
– 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:MITx18.6501x1T2022/home
– Probability – The science of uncertainty and data https://learning.edx.org/course/course-v1:MITx6.431x1T2022/home
– Bare Statistics: Taking the Fear Out of Data -https://geni.us/H0I61P

‍️Physics:
Introduction to Electrodynamics – David J. Griffiths – https://geni.us/03Aaz
A self-adapting Boltzmann atomic machine – https://www-nature-com.ru.idm.oclc.org/articles/s41565-020-00838-4
Conference by Bert van Kappen: https://www.youtube.com/watch?vt3IYgvq5jNQ

Neuroscience:
Nature Reviews Neuroscience and Nature Neuroscience:
– Deep learning in alternative reality
– Neurons as will and representation

Elife – open scientific journal:
– Trace brain growth and aging with high spatial precision

Frontiers of neuroscience:
– End-to-end deep image reconstruction from human brain activity

Music: Epidemic Sound – https://share.epidemicsound.com/ndkqqq
Twitter: https://twitter.com/CFraza

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