Author Description
In order to understand how the brain works, it is essential to know what is computed by different brain systems, and how those computations are performed. 'Brain Computations' elucidates what is computed in different brain systems and describes current computational approaches and models of how each of these brain systems computes. This approach has enormous potential for helping us understand ourselves better in health. Potential applications of this understanding are to the treatment of the brain in disease, as well as to artificial intelligence, which will benefit from knowledge of how the brain performs many of its extraordinarily impressive functions.
Menrva's Summary
THE THESIS
This book investigates the fundamental question of how specific brain systems perform computations to facilitate human function and cognition. Edmund T. Rolls, a prominent neuroscientist, leverages his extensive research background to bridge the gap between biological neural networks and computational modeling. The text argues that by decoding the mathematical and logical operations of the brain, researchers can better address neurological disorders and advance the development of sophisticated artificial intelligence systems.
THE SCOPE MAP
What You Will Find
- Computational models of sensory, memory, and decision-making systems
- Analysis of neural network architectures in the brain
- Theoretical frameworks for linking biological function to algorithmic processes
Scope Limits
- Does not provide a comprehensive clinical manual for specific neurological diseases
- Does not focus on philosophical or metaphysical theories of consciousness
THE AUTHORITY PERSPECTIVE
Experts recognize this work as a rigorous technical resource for those interested in the intersection of biology and computer science. Readers frequently note the high level of academic density, making it a specialized text for students and professionals in the field of computational neuroscience.
Page Count:
933
Publication Date:
2021-01-01
ISBN-10:
0192644467
ISBN-13:
9780192644466
Neuroscience
Biology