Books for neuroscience, visual science, Neural network
Introduction of Vision Science
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Basic Vision: An Introduction to Visual Perception, by Snowden, Robert J; Thompson, Peter; Troscianko, Tom
- Foundations of Vision, by Brian A. Wandell [Open access website]
- VISION by David Marr
- Vision and Brain: How We Perceive the World by James V. Stone
- Seeing: The Computational Approach to Biological Vision By John P. Frisby and James V. Stone
- Seeing by Karen De Valois
Textbooks for Neuroscience
- From Neuron to Brain 6th Edition by A. Robert Martin, David A. Brown, Mathew E. Diamond, Antonino Cattaneo, Francisco F. De Miguel
- Principles of Neural Science, by Eric R. Kandel, Sarah Mack, Thomas M. Jessell, James H. Schwartz, Steven A. Siegelbaum, A.J. Hudspeth
- Neuroscience: Exploring the Brain, Enhanced Edition, Fourth Edition, Mark Bear, PhD; Barry Connors, PhD; Michael A. Paradiso, PhD
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Theoretical Neuroscience, Computational and Mathematical Modeling of Neural Systems By Laurence F. Abbott and Peter Dayan
- The Cognitive Neurosciences, Sixth Edition Edited by David Poeppel, George R. Mangun and Michael S.
Gazzaniga
Textbooks for Deeplearning
- Deep Learning (Adaptive Computation and Machine Learning series) by Ian Goodfellow, Yoshua Bengio, Aaron Courville