Awesome Cogsci Save

An Awesome List of Cognitive Science Resources

Project README

Awesome Cognitive Science

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 the beautifully meshed fields studied under a catch-all called Cognitive Science.

Maintained by: Abi Aryan

To contribute, please go through the Contribution Guidelines first. Please feel free to contribute by opening a new issue/pull request or responding to existing ones.

Why Study this Intersection?

Cognitive Science refers to the study of thought, learning, and mental organization, which draws on aspects of psychology, linguistics, philosophy, and computer science.

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
  4. An Ecological Approach to Visual Perception - Gibson, James J
  5. The New Executive Brain: Goldberg, Elkhonon
  6. The Neuropsychology of Anxiety: Gray, Jeffrey and Neil McNaughton
  7. The Emotional Brain: LeDoux, Joseph
  8. Affective Neuroscience: Panksepp, Jaak
  9. Brain Architecture: Understanding the Basic Plan: Swanson, Larry
  10. Mindware: An Introduction to the Philosophy of Cognitive Science: Andy Clark
  11. Being There: Putting Brain, Body, and World Together Again: Andy Clark
  12. Natural-Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence: Andy Clark
  13. Supersizing the Mind: Embodiment, Action, and Cognitive Extension: Andy Clark
  14. Surfing Uncertainty: Prediction, Action, and the Embodied Mind: Andy Clark
  15. Reasoning about Knowledge: Joe Halpern et. al.
  16. Becoming Human: A Theory of Ontogeny - Michael Tomasello
  17. A Natural History of Human Thinking- Michael Tomasello
  18. Why We Cooperate- Michael Tomasello
  19. Constructing a Language: A Usage-Based Theory of Language Acquisition- Michael Tomasello
  20. The Cultural Origins of Human Cognition- Michael Tomasello
  21. Reinforcement Learning- Richard Sutton
  22. The Oxford Handbook of Computational and Mathematical Pyschology - Jerome Busemeyer
  23. Human Cognitive Processing: Analogical Modelling
  24. Mind & Nature - Gregory Bateson
  25. Steps to an Oncology of Mind - Gregory Bateson
  26. Non-linear Dynamics in Human Behavior - Armin Fuchs et. al.
  27. Quantitative Models in Psychology- Robert McGrath
  28. Actual Causality- Joe Halpern

FICTION:

  1. The Man Who Mistook His Wife for a Hat and Other Clinical Tales - Oliver Sacks
  2. Awakenings - Oliver Sacks
  3. An Anthropologist on Mars - Oliver Sacks
  4. Machines Like Me- Ian McEwan

CASE STUDY:

  1. Phantoms in the Brain: Probing the Mysteries of the Human Mind - V.S. Ramachandran, Sandra Blakeslee, Oliver Sacks
  2. The Power of Habit - Charles Duhhigg
  3. Atomic Habits - James Clear
  4. Machine Intelligence: Perspectives on the Computational Model- Andy Clark, Toribio
  5. The Siliman Memorial Lecture Series on the Computer and the Brain - John von Neumann, Ray Kurzweil
  6. Choices, Values, and Frames - Amos Tversky, Daniel Kahenmann
  7. Thinking Fast and Slow - Daniel Kahenmann
  8. Preference, Belief, and Similarity: Selected Writings - Amos Tversky
  9. The Embodied Mind: Cognitive Science and Human Experience - Francisco J. Varela

MOOCs and Blogs You Must Follow

  1. Neuroecology by Adam J. Calhoun
  2. Simulation Neuroscience
  3. Advancing AI through Cognitive Sciences

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 (in no particular order)

  1. Terrence Sejnowski
  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
  22. Jordan Peterson
  23. Josh Tennenbaum
  24. Feiry Cushman
  25. Andy Clark
  26. Carol Dweck
  27. Richard Sutton
  28. Judea Pearl
  29. Jerome Busemeyer
  30. Brendt Brehmer
  31. Yoav Shoham
  32. Richard Thaler
  33. Cass R. Sunstein
  34. Dan Ariely
  35. Herbert Simon
  36. John Von Neumann
  37. Joseph (Joe) Halpern

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
Open Source Agenda is not affiliated with "Awesome Cogsci" Project. README Source: abi-aryan/awesome-cogsci

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