Giter Site home page Giter Site logo

jnoni / psych-neuro-cs Goto Github PK

View Code? Open in Web Editor NEW

This project forked from abi-aryan/awesome-cogsci

0.0 0.0 0.0 1.7 MB

A reference guide to all the resources, projects, study material for those whose interests lie on the intersection of Psychology, Neuroscience and Computer Science

License: MIT License

psych-neuro-cs's Introduction

psych-neuro-cs

Join the chat at https://gitter.im/psych-neuro-cs/Lobby

Build Status

As the name goes, our aim is to create a reference guide for all the information that could serve as a great guiding point to someone who is getting started in research that lies at the intersection of these three beautifully meshed fields of Psychology, Neuroscience and Computer Science .

Please feel free to contribute by opening a new issue or responding to existing ones. To start adding to this guide, please open a pull request.

Why Study this Intersection?

Future Scope

Roadmap

Good Reads

NON-FICTION:

  1. Theoretical Neuroscience - Dayan, Abbott
  2. The Computational Brain by Terrence Sejnowiski & Patricia Churchland
  3. Collaborative learning: Cognitive and computational approaches by P Dillenbourg

FICTION:

  1. The Man Who Mistook His Wife for a Hat and Other Clinical Tales - Oliver Sacks
  2. Phantoms in the Brain: Probing the Mysteries of the Human Mind - V.S. Ramachandran, Sandra Blakeslee, Oliver Sacks

MOOCs and Blogs You Must Follow

  1. Neuroecology by Adam J. Calhoun
  2. Simulation Neuroscience

Become a Professional Researcher in the Subject

ACADEMIC LABS:

  1. IDSIA
  2. MIT Media Lab
  3. CSAIL
  4. Salk Institute
  5. Tye Lab
  6. Rotman Research Institute
  7. Gatsby Computational Neuroscience Unit
  8. UCL Allen Institute for Brain Science
  9. Computational Neuroscience Lab, Institute of Computer Science, University of Tartu

PRIVATE LABS:

  1. Human Connectome Project

Global Projects and Funding Organisations

  1. White House Brain Initiative
  2. Human Brain Project

Top Challenges and Open Problems in the Field

Notable Researchers in the Field

  1. Terrence Sejnowiski
  2. Patricia Churchland
  3. Oriol Vinayls
  4. Shakir Md.
  5. Daniel Zoran
  6. Paul Bloom
  7. Charles Blundell
  8. Benigno Uria
  9. Alexander Pritzel
  10. Demis Hassabis
  11. Daan Wierstra
  12. Rosalind Picard
  13. Kay Tye
  14. Alex Huk
  15. Jürgen Schmidhuber
  16. Sepp Hochreiter
  17. Geoffrey E. Hinton
  18. Marvin Minsky
  19. TM Mitchell
  20. MA Wheeler
  21. E Tulving

Relevant Conferences

  1. COSYNE
  2. NIPS
  3. ICLR
  4. Cognitive Computational Neuroscience
  5. ICML
  6. IJCNN
  7. Bernstein Conference
  8. ESANN

Important Papers

  1. Cognitive Psychology for Deep Neural Network by Google Deep Mind
  2. Foraging for foundations in decision neuroscience: insights from ethology

Journals

  1. Nature
  2. Frontiers in Computational Neuroscience
  3. The Journal of Neuroscience Methods

Relevant Resources

  1. For asking questions Psychology and Neuroscience beta - Stack Exchange

psych-neuro-cs's People

Contributors

abi-aryan avatar pragyakale avatar goelchahat avatar sreshu avatar gitter-badger avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.