This is the 4th edition of the online, freely available textbook, providing a complete, self-contained introduction to the field of Computational Cognitive Neuroscience, where computer models of the brain are used to understand a wide range of cognitive functions, including perception, attention, motor control, learning, memory, language, and executive function.

The first part of this textbook develops a coherent set of computational and neural principles that capture the behavior of networks of interconnected neurons, and the second part applies these principles to understand the above-listed cognitive functions.

Formats

Please use the following links to download the formatted version of the book:

Simulation Exercises

The simulation exercises that go with the book are available under this same organization in github, in the sims repository: https://github.com/CompCogNeuro/sims

These are updated with the new Go / Python version of emergent: https://github.com/emer/emergent

Lecture Videos

Thanks to Covid-19, video lectures by O’Reilly @ UC Davis have been recorded: YouTube Playlist

Citation

Please use this citation for the text:

O’Reilly, R. C., Munakata, Y., Frank, M. J., Hazy, T. E., and Contributors (2012). Computational Cognitive Neuroscience. Wiki Book, 4th Edition (2020). URL: https://CompCogNeuro.org

(you could update year to 2020 but maybe better to just keep using the 2012 citation — either way is fine)

BibTeX:

@BOOK{OReillyMunakataFrankEtAl12,
  author={Randall C. O'Reilly and Yuko Munakata and Michael J. Frank and Thomas E. Hazy and Contributors},
  title={Computational Cognitive Neuroscience},
  year={2012},
  publisher={Online Book, 4th Edition, URL: \url{https://CompCogNeuro.org}},
  url={https://github.com/CompCogNeuro/ed4},
}

Syllabi

GitHub Source

The source for this book is at: https://github.com/CompCogNeuro/ed4

It was originally written in MediaWiki and hosted on grey.colorado.edu

This version is written in markdown format, and converted into various other end-user formats using pandoc with the assistance of the https://github.com/bmc/ebook-template python script.