Description
Book SynopsisThis book examines what seems to be the basic challenge in neuroscience today: understanding how experience generated by the human brain is related to the physical world we live in. The 25 short chapters present the argument and evidence that brains address this problem on a wholly trial and error basis.
The goal is to encourage neuroscientists, computer scientists, philosophers, and other interested readers to consider this concept of neural function and its implications, not least of which is the conclusion that brains don’t “compute.”
Trade Review“I highly recommend this volume for behavioral, cognitive, and evolutionary neuroscientists.” (Paul Tibbetts, The Quarterly Review of Biology, Vol. 97 (2), June, 2022)
Table of ContentsPreface
PART I. TWO REALITIES
Chapter 1. Solving Problems
Chapter 2. Objective and Subjective Reality
PART II. Computation
Chapter 3. Algorithms
Chapter 4. Coding for Computers
PART III. ARTIFICIAL NEURAL NETWORKS
Chapter 5. Neural Networks
Chapter 6. The Resurrection of Neural Networks
Chapter 7. Reinforcement Learning
Part IV. perception
Chapter 8. What We Perceive
Chapter 9. Lines and Intervals
Chapter 10. Angles
Chapter 11. Lightness and Darkness
Chapter 12. Empirical Ranking
Chapter 13. Color
Chapter 14. Colorimetry
Chapter 15. Motion Speed
Chapter 16. Motion Direction
Chapter 17. Size
Chapter 18. Stereopsis
PART V. Linking OBJECTIVE AND SUBJECTIVE
Chapter 19. Stimuli and Behavior
Chapter 20. Associations
Chapter 21. Mechanisms
Chapter 22. Reflexes
PART VI. THEORIES
Chapter 23. Feature Detection
Chapter 24. Statistical Inference
Chapter 25. Information Theory
PART VII. SELF AWARENESS
Chapter 26. Awareness
Chapter 27. Summing Up
