Cerebral Cortex: Principles of Operation
Autor Edmund T. Rollsen Limba Engleză Paperback – 30 noi 2017
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Specificații
ISBN-13: 9780198820345
ISBN-10: 0198820348
Pagini: 992
Dimensiuni: 171 x 247 x 37 mm
Greutate: 1.43 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom
ISBN-10: 0198820348
Pagini: 992
Dimensiuni: 171 x 247 x 37 mm
Greutate: 1.43 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom
Recenzii
I recommend this book to the neuroscience community for its thorough review and proposed models. It is a comprehensive yet accessible text for anyone seeking to understand the deep mechanics of how we think. I commend Professor Rolls for this and his other excellent contributions to the field.
Notă biografică
Professor Edmund T. Rolls performs full-time research at the Oxford Centre for Computational Neuroscience, and is professor of Computational Neuroscience at the University of Warwick, and has acted as Professor of Experimental Psychology at the University of Oxford, and as Fellow and Tutor of Corpus Christi College, Oxford. His research links neurophysiological and computational neuroscience approaches to human functional neuroimaging and neuropsychological studies in order to provide a fundamental basis for understanding human brain function and its disorders.
Cuprins
- 1: Introduction
- 2: Hierarchical Organization
- 3: Localization of Function
- 4: Recurrent Collateral Connections and Attractor Networks
- 5: The Noisy Cortex: Stochastic dynamics, decisions, and memory
- 6: Attention, Short-term Memory, and Biased Competition
- 7: Diluted Connectivity
- 8: Coding Principles
- 9: Synaptic Modification for Learning
- 10: Synaptic and Neuronal Adaptation and Facilitation
- 11: Backprojections in the Neocortex
- 12: Memory and the Hippocampus
- 13: Limited Neurogenesis in the Adult Cortex
- 14: Invariance Learning and Vision
- 15: Emotion, Motivation, Reward Value, Pleasure, and their Mechanisms
- 16: Noise in the Cortex, Stability, Psychiatric Disease, and Aging
- 17: Syntax and Language
- 18: Evolutionary Trends in Cortical Design and Principles of Operation
- 19: Genetics and Self-Organization Build the Cortex
- 20: Cortex versus Basal Ganglia Design for Selection
- 21: Sleep and Dreaming
- 22: Which Cortical Computations Underlie Consciousness?
- 23: Cerebellar Cortex
- 24: The Hippocampus and Memory
- 25: Invariant Visual Object Recognition Learning
- 26: Synthesis
- Introduction to Linear Algebra for Neural Networks
- Neural Network Models
- Information Theory and Neuronal Encoding
- Simulation Software for Neuronal Network Models
- References
- Index