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Institute of Computer Science
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  2. 2020/21 fall
  3. Introduction to Computational Neuroscience (MTAT.03.291)
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Introduction to Computational Neuroscience 2020/21 fall

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Links & Reading

Recommended books

  • Jeff Hawkins, On Intelligence (2005). St. Martin's Griffin
  • William W. Lytton, From Computer to Brain: Foundations of Computational Neuroscience (2002)
  • Tom Stafford, Mind Hacks: Tips and tools for using your brain (2004). O'Reilly Media
  • Peter Dayan, Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (2005). The MIT Press
  • Matt Carter and Jennifer Shieh, Guide to Research Techniques in Neuroscience (2009). Academic Press
  • Thomas Trappenberg, Fundamentals of Computational Neuroscience (2010). Oxford University Press
  • Joseph LeDoux, Synaptic Self: How Our Brains Become Who We Are (2003). Penguin Books
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