Research Catalog

Circuits of the mind / Leslie G. Valiant.

Title
Circuits of the mind / Leslie G. Valiant.
Author
Valiant, Leslie.
Publication
New York : Oxford University Press, 1994.

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Description
xiii, 237 pages : illustrations; 25 cm
Summary
  • In this groundbreaking work, computer scientist Leslie G. Valiant details a promising new computational approach to studying the intricate workings of the human brain. Focusing on the brain's enigmatic ability to quickly access a massive store of accumulated information during reasoning processes, the author asks how such feats are possible given the extreme constraints imposed by the brain's finite number of neurons, their limited speed of communication, and their restricted interconnectivity.
  • Programmable so that a wide range of algorithmic theories can be described and evaluated, the model provides a concrete computational language and a unified framework in which diverse cognitive phenomena - such as memory, learning, and reasoning - can be systematically and concurrently analyzed.
  • Requiring no specialized knowledge, Circuits of the Mind masterfully offers an exciting new approach to brain science for students and researchers in computer science, neurobiology, neuroscience, artificial intelligence, and cognitive science.
  • Valiant proposes a "neuroidal model" that serves as a vehicle to explore these fascinating questions.
  • While embracing the now classical theories of McCulloch and Pitts, the neuroidal model also accommodates state information in the neurons, more flexible timing mechanisms, a variety of assumptions about interconnectivity, and the possibility that different brain areas perform specialized functions.
Subjects
Bibliography (note)
  • Includes bibliographical refernces and index.
Contents
1. The Approach -- 2. Biological Constraints -- 3. Computational Laws -- 4. Cognitive Functions -- 5. The Neuroidal Model -- 6. Knowledge Representations -- 7. Unsupervised Memorization -- 8. Supervised Memorization -- 9. Supervised Inductive Learning -- 10. Correlational Learning -- 11. Objects and Relational Expressions -- 12. Systems Questions -- 13. Reasoning -- 14. More Detailed Neural Models -- 15. Afterword.
ISBN
019508926X
LCCN
94020869
Owning Institutions
Columbia University Libraries