Neural networks AI and cognitive neuroscience combined
Discover the intersection of artificial intelligence, neural networks, and cognitive science with this curated reading list. Featuring mind-expanding books like Douglas Hofstadter's *Gödel, Escher, Bach* and Marvin Minsky's *The Society of Mind*, explore how philosophy, psychology, and computing converge to explain the human mind and the future of machine intelligence.
Book
Rethinking Innateness: A Connectionist Perspective on Development (Neural Network Modeling and Connectionism)
by Jeffrey L. Elman
No summary available.
Book
Darwin among the machines
by George Dyson
In this astonishing prediction of the World Wide Web's ultimate challenge to human civilization--a globally networked, electronic, sentient being--Dyson traces the course of the information revolution, illuminating the lives, work, and ideas of visionaries who foresaw the development of artificial intelligence, artificial life, and the global mind.
![Object-oriented neural networks in C [plus plus] Cover](https://ec2.images-amazon.com/images/P/0125931158.01._SCLZZZZZZZ_.jpg)
Book
Godel, Escher, Bach
by Douglas R. Hofstadter
Winner of the Pulitzer Prize A metaphorical fugue on minds and machines in the spirit of Lewis Carroll Douglas Hofstadter's book is concerned directly with the nature of "maps" or links between formal systems. However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.