
Your Creative Brain and AI
How We Learn and Consciously Experience Art, Music, and Meaning
$56.49
- Hardcover
256 pages
- Release Date
24 March 2026
Summary
How do our brains give rise to our conscious minds? How do our minds learn and consciously experience miraculous creations of our civilizations, such as visual art, music, and the languages whose meanings enable us to think and communicate about our experiences in the world?
How does human learning and language differ from some Artificial Intelligence algorithms that fail to explain how human minds work? Unlike these AI algorithms, whose flaws are explained in the book, human brains p…
Book Details
| ISBN-13: | 9780198965374 |
|---|---|
| ISBN-10: | 0198965370 |
| Author: | Stephen Grossberg |
| Publisher: | Oxford University Press |
| Imprint: | Oxford University Press |
| Format: | Hardcover |
| Number of Pages: | 256 |
| Release Date: | 24 March 2026 |
| Weight: | 944g |
| Dimensions: | 20mm x 225mm x 282mm |

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Critics Review
A rich and compelling read. There are three stories or narratives that are gracefully intertwined. It starts with a personal narrative, documenting 68 years of intellectual endeavour and foundational contributions to artificial intelligence and computational neuroscience. If my mentor Gerry Edelman is to be believed, the author was a pioneer of computational neuroscience before the word “neuroscience” was invented. The author’s stature lends a gravity to the ensuing narrative - about how our brains work and engage autonomously and adaptively with the sensorium - to model the world in an authentic and explainable fashion. The narrative then takes us into the world of art: read variously in the sense of ART (Adaptive Resonance Theory), the visual and musical arts, and the art of understanding. * Karl J. Friston, University College London *
Stephen Grossberg
Stephen Grossberg is Wang Professor of Cognitive and Neural Systems, and Emeritus Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering at Boston University. He is internationally acknowledged as the most important pioneer and current research leader who discovers and develops neural network models of how brains make minds. In 1957, he introduced the basic equations that are used world-wide in these models, which explain how individuals adapt in real-time to changing environments, including models of vision and visual cognition; consciousness; object and scene recognition; audition, speech and language; development; cognitive information processing; reinforcement learning and cognitive-emotional interactions; navigation; social cognition; sensory-motor control and planning; mental disorders; and neuromorphic technology.
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