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Brain Computations and Principles; and AI de Edmund T. Rolls

Brain Computations and Principles; and AI

Autor Edmund T. Rolls
en Limba Engleză Hardback – 28 aug 2026
This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read on the Oxford Academic platform and offered as a free PDF download from OUP and selected open access locations.Brain Computations and Principles; and AI is about how the brain works, and about how brain computations compare to AI computations. In order to understand this, it is essential to know what is computed by different brain systems; how the computations are performed; and how the brain systems are connected. The aims of this book are to elucidate what is computed in many different brain systems; to describe current biologically plausible computational approaches and models of how each of these brain systems computes; to elucidate the principles of brain computations; to compare brain computations with those performed by AI systems; and to consider how understanding differences between brain computations and AI computations will benefit both.Understanding the brain in this way has enormous potential for understanding ourselves better in health and in disease. Potential applications of this understanding are to the treatment of the brain in disease; and to artificial intelligence which will benefit from knowledge of how the brain performs many of its extraordinarily impressive functions. This book is pioneering in taking this approach to brain function: to consider what is computed by many of our brain systems; how it is computed; what the connectivity is between different brain regions; the principles of operation of the brain; and comparing these to AI systems. This book thus considerably updates and extends Rolls' 2023 book Brain Computations and Connectivity.Brain Computations and Principles; and AI will be of interest to all scientists interested in brain function and how the brain works, whether they are from neuroscience, or from medical sciences including neurology and psychiatry, or from the area of computational science including machine learning and artificial intelligence, or from areas such as theoretical physics.
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Specificații

ISBN-13: 9780197920961
ISBN-10: 0197920969
Pagini: 1520
Dimensiuni: 178 x 253 x 60 mm
Greutate: 2.35 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom

Notă biografică

Professor Edmund T. Rolls performs full-time research at the Oxford Centre for Computational Neuroscience, and at the University of Warwick where he is Professor of Computational Neuroscience, and has performed research and teaching for many years as Professor of Experimental Psychology at the University of Oxford, and as Fellow and Tutor of Corpus Christi College, Oxford. His research links computational neuroscience to neurophysiological, human functional neuroimaging and neuropsychological studies in order to provide a fundamental basis for understanding how the brain operates in health and in disease.

Cuprins

  • 1: Introduction
  • 2: The ventral visual system
  • 3: The dorsal visual system
  • 4: The taste and flavor system
  • 5: The olfactory system
  • 6: The somatosensory system
  • 7: The auditory system
  • 8: The temporal cortex
  • 9: The hippocampus, memory, and spatial function
  • 10: The parietal cortex, spatial functions, and navigation
  • 11: The orbitofrontal cortex, amygdala, reward value, emotion, and decision-making
  • 12: The cingulate cortex
  • 13: The prefrontal cortex
  • 14: Language and syntax in the brain
  • 15: The motor cortical areas
  • 16: The basal ganglia
  • 17: Cerebellar cortex
  • 18: Principles: Hierarchical organization
  • 19: Principles: Localization of function
  • 20: Principles: Cortical recurrent collateral connections and attractor networks
  • 21: Principles: Cortical attractor stochastic dynamics and connectivity, stability, psychiatric disorders, and aging
  • 22: Principles: Attention, short-term memory, and biased competition
  • 23: Principles: Diluted Connectivity
  • 24: Principles: Neural encoding
  • 25: Principles: Synaptic modification for learning
  • 26: Principles: Synaptic and neuroal adaptation and facilitation
  • 27: Principles: Backprojections in the neocortex
  • 28: Principles: Limited neurogenesis in the adult cortex
  • 29: Principles: Evolutionary trends in cortical design and principles of operation
  • 30: Principles: Emotion and motivation in brain design
  • 31: Principles: Sleep and Dreaming
  • 32: Principles: Genes and self-organization build the cortex
  • 33: Principles: Brain, Mind, Causality, and Consciousness
  • 34: Differences between Brain Computations and AI computations
  • A: Introduction to linear algebra for neural networks
  • B: Neuronal network models
  • C: Neuronal encoding and information theory
  • D: Simulation software for neuronal networks, and information analysis of neuronal encoding
  • References
  • Index