Computational neuroscience resources
On this page is a list of resources for learning computational neuroscience that are freely available online. This might be helpful for students or people who are new to computational neuroscience. Please do contact me if you have good suggestions not included.
General computational neuroscience
Textbooks
- Wulfram Gerstner
- The handbook of brain theory and neural networks (Michael Arbib)
- Theoretical Neuroscience (Dayan and Abbott)
- Neural Networks - A Systematic Introduction (Raul Rojas, 1996)
- Computational cognitive neuroscience
- Dynamical systems in neuroscience, and others (Izhikevich)
Courses
- Computational Neuroscience - Coursera (Rao and Fairhall)
- INCF Training Space - several courses, including:
- Bristol computational neuroscience unit
- Computational neuroscience (Conor Houghton, Cian O'Donnell and Rui Ponte Costa)
- Information Processing and the Brain (Conor Houghton and Rui Ponte Costa)
- MIT Brian and Cognitive Sciences
- Simulation Neuroscience (HBP-centric)
- How to build a brain from scratch (Chris Summerfield, Oxford)
Specialised topics
- Computational Sensory-Motor Neuroscience (CoSMo) summer school
- Natural image statistics textbook
- Information Theory, Inference and Learning Algorithms textbook (David MacKay)
Other lists and collected resources
- Austin Soplata's list
- List of short courses and schools in comp neuro and related topics
- Computational Neuroscience on the Web
- OpenSourceBrain's introduction to computational neuroscience list