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An Awesome List of Cognitive Science Resources
https://github.com/abi-aryan/awesome-cogsci

List: awesome-cogsci

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An Awesome List of Cognitive Science Resources

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README 

        
# [![Awesome](https://awesome.re/badge-flat2.svg)](https://awesome.re) 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](https://twitter.com/GoAbiAryan) 



To contribute, please go through the [Contribution Guidelines](https://github.com/abi-aryan/awesome-cogsci/blob/master/CONTRIBUTING.md) 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](https://www.amazon.com/gp/product/B00NPMEXY4/): Andy Clark

11. [Being There: Putting Brain, Body, and World Together Again](https://www.amazon.com/gp/product/0262531569/): Andy Clark

12. [Natural-Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence](https://www.amazon.com/gp/product/0195177517/): Andy Clark

13. [Supersizing the Mind: Embodiment, Action, and Cognitive Extension](https://www.amazon.com/gp/product/0199773688/): Andy Clark

14. [Surfing Uncertainty: Prediction, Action, and the Embodied Mind](https://www.amazon.com/gp/product/0190933216/): Andy Clark

15. [Reasoning about Knowledge](https://www.amazon.com/Reasoning-About-Knowledge-Bradford-Book/dp/0262562006/): Joe Halpern et. al.

16. [Becoming Human: A Theory of Ontogeny](https://www.amazon.com/Becoming-Human-Ontogeny-Michael-Tomasello/dp/0674980859/) - Michael Tomasello

17. [A Natural History of Human Thinking](https://www.amazon.com/Natural-History-Human-Thinking/dp/0674724771/)- Michael Tomasello

18. [Why We Cooperate](https://www.amazon.com/Why-Cooperate-Boston-Review-Books/dp/0262013592/)- Michael Tomasello

19. [Constructing a Language: A Usage-Based Theory of Language Acquisition](https://www.amazon.com/Cultural-Origins-Human-Cognition/dp/0674005821/)- Michael Tomasello

20. [The Cultural Origins of Human Cognition](https://www.amazon.com/Cultural-Origins-Human-Cognition/dp/0674005821/)- Michael Tomasello

21. [Reinforcement Learning](hhttps://www.amazon.com/Reinforcement-Learning-Introduction-Adaptive-Computation/dp/0262039249/)- 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](https://www.amazon.com/Quantitative-Models-Psychology-Robert-McGrath/dp/1433809591/)- Robert McGrath

28. [Actual Causality](https://www.amazon.com/Actual-Causality-Press-Joseph-Halpern/dp/0262537133/)- Joe Halpern



FICTION:

1. [The Man Who Mistook His Wife for a Hat and Other Clinical Tales](https://www.goodreads.com/book/show/63697.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](https://www.amazon.com/Machines-Like-Me-Ian-McEwan/dp/0385545118/)- Ian McEwan



CASE STUDY:

1. [Phantoms in the Brain: Probing the Mysteries of the Human Mind](https://www.goodreads.com/book/show/31555.Phantoms_in_the_Brain) -  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](https://www.amazon.de/Embodied-Mind-Cognitive-Science-Experience/dp/026252936X/) - Francisco J. Varela 



# MOOCs and Blogs You Must Follow



1. [Neuroecology](https://neuroecology.wordpress.com/) by Adam J. Calhoun 

2. [Simulation Neuroscience](https://www.edx.org/course/simulation-neuroscience-epflx-simneurox)

3. [Advancing AI through Cognitive Sciences](https://brendenlake.github.io/AAI-site/)



# 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](http://www.braininitiative.org/)

2. [Human Brain Project](https://www.humanbrainproject.eu/en/)



# 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

29. Brendt Brehmer

30. Yoav Shoham

31. Richard Thaler

32. Cass R. Sunstein

33. Dan Ariely

34. Herbert Simon 

35. John Von Neumann 

36. Joseph (Joe) Halpern



# Relevant Conferences

1. COSYNE	

2. NIPS	

3. ICLR	

4. Cognitive Computational Neuroscience	

5. ICML	

6. IJCNN	

7. Bernstein Conference

8. [ESANN](https://www.elen.ucl.ac.be/esann/)



# Important Papers 

1. [Cognitive Psychology for Deep Neural Network by Google Deep Mind](https://arxiv.org/abs/1706.08606)

2. [Foraging for foundations in decision neuroscience: insights from ethology](https://www.nature.com/articles/s41583-018-0010-7)



# 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](https://psychology.stackexchange.com/)