A01=Michael S A Graziano
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ai
ast
attention schema theory
Author_Michael S A Graziano
automatic-update
awareness
brain
Category1=Non-Fiction
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Category=GTR
Category=JMM
Category=JMR
Category=PSAJ
cognition
cognitive
COP=United States
cortex
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Language_English
machine learning
machines
materialist
neuropsychology
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Price_€10 to €20
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Product details
- ISBN 9780393541342
- Weight: 175g
- Dimensions: 140 x 211mm
- Publication Date: 20 Apr 2021
- Publisher: WW Norton & Co
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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Tracing evolution over millions of years, Michael Graziano shows how neurons first allowed animals to develop simple forms of attention: taking in messages from the environment, prioritising them and responding as necessary. Then covert attention evolved—a roving, mental focus separate from where the senses are pointed. To monitor and control covert attention, Graziano posits in his attention schema theory, the brain evolved a simplified model of it—a cartoonish self-description depicting an internal essence with a capacity for knowledge and experience. In other words, consciousness. That self model gives us our intuitions about consciousness and makes us empathetic social beings as we attribute it to others. The theory implies that uploading the data structure of consciousness into machines will be possible and he discusses what artificial consciousness will mean for our evolutionary future.
Michael S. A. Graziano is a professor of psychology and neuroscience at Princeton University. The author of four previous neuroscience books, he lives in Princeton, New Jersey.
