The mind within the net : models of learning, thinking, and acting /

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Bibliographic Details
Author / Creator:Spitzer, Manfred.
Uniform title:Geist im Netz. English
Imprint:Cambridge, Mass : MIT Press, c1999.
Description:xiv, 359 p. : ill. ; 24 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/3723838
Hidden Bibliographic Details
ISBN:0262194066 (hardcover : alk. paper)
Notes:"A Bradford book."
Translation of: Geist im Netz.
Includes bibliographical references (p. [323]-351) and index.
Also available on the internet.
Table of Contents:
  • Preface
  • Acknowledgments
  • 1. Introduction
  • History
  • Neural Networks In Intensive-Care Units
  • Enlightenment!
  • Brains Versus Computers
  • Speed
  • Reliability
  • Architecture
  • Recap
  • I. Basics
  • 2. Neuronal Teamwork
  • Neurons as Information-Processing Units
  • A Simple Network for Pattern Recognition
  • Shared Labor by Parallel Processing
  • Language Acquisition by Children and Networks
  • Computer Simulations of Higher Cognitive Functions
  • DECtalk versus NETtalk
  • Beethoven, Karajan, Sony, and the Human Genome
  • Recap
  • 3. Learning
  • Association and Hebbian Learning
  • Learning Synapses
  • Excursus: Glutamate and the 1992 Molecule of the Year
  • Supervised Learning
  • Age and the Learning Constant
  • Reality as the Basic Set and Experience as a Part Subset
  • The Accuracy Of A Prediction Increases With The Square Root Of The Number Of Observations
  • Why Children Play
  • Practice, Don't Preach
  • Computer Models And Biological Neurons
  • Shape From Shading
  • Recap
  • 4. Vectors in the Head
  • Vectors
  • Codes
  • Symbols versus Vectors
  • Colors as Vectors
  • Codes as Optimization Strategies
  • Vector Populations and the Population Vector
  • Observing Neurons During Learning
  • Recap
  • II. Principles
  • 5. Maps in the Cortex
  • Anatomy of the Cortex
  • Isocortex--The General Purpose Machine
  • Columns of Information Processing
  • Self-Organizing Feature Maps
  • Example: A Simulated Network for Letter Recognition
  • Similarity and Frequency
  • Receptive Fields
  • Cortical Topography
  • Biological Example: The Auditory Cortex of the Bat
  • Networks of Maps: Modularity
  • Recap
  • 6. Hidden Layers The Exclusive-Or
  • Abstraction and Type Formation
  • Learning by the Feedback of Errors
  • Hidden Layers in the Brain
  • Cortico-Cortical Connections
  • Analysis and Synthesis
  • Ping-Pong Style Information Processing
  • Autism
  • Brains as Engines for the Estimation of Functions
  • Recap
  • 7. Neuroplasticity
  • Artificial Ears
  • Hearing, Too, Depends on Context
  • Rewiring Maps
  • Animal Studies on Neuroplasticity
  • Importance of the Input
  • Selective Attention
  • The Higher the Level, the More Adaptive the Area
  • Phantoms and Amputated Networks
  • Subjective Experience
  • Cortical-Phantom Genesis
  • Peripheral Phantom Genesis
  • Simulating Phantoms by Amputating Networks
  • Noise
  • Noise and Neuroplasticity
  • Turning a Conundrum into a Parsimonious Theory
  • The Cortex Plays the First Violin
  • Therapeutic Application: Plastic Understanding of Spoken Language
  • Neuroplasticity and Thought
  • Recap
  • 8. Feedback
  • Connectivity Across the Board: Hopfield Networks
  • Attractors
  • Auditory Hallucinations
  • Elman Networks
  • Working Memory
  • Development of the Frontal Lobes
  • Interaction of Brain Development and Learning
  • Pidgin and Creole Languages
  • Recap
  • III. Applications
  • 9. Representing Knowledge
  • Static Rules versus Dynamic Processes
  • Piaget and Stages of Development
  • Memory
  • Living without the Hippocampus
  • Memory in the Network
  • Single Events versus Generality
  • Catastrophic Interference
  • Race Against Decay
  • The Hippocampus as the Trainer of the Cortex
  • A Neural Network Model of Alzheimer's Disease
  • Recap
  • 10. Semantic Networks
  • Understanding and Speaking
  • Associations: What Comes to Mind, and Why
  • Rhymes, Fatigue, and Attention
  • Associative Networks
  • Self-Organizing Semantic Networks
  • Language Is Used
  • Semantic Maps in the Head
  • Missing Vegetables Only
  • Category-Specific Activation in Functional Magnetic Resonance Imaging
  • Measuring Associations within Networks
  • Recap
  • Postscript on Aschaffenburg and Jung or, Whether Rhyming Is Priming Depends upon Timing
  • 11. The Disordered Mind
  • The Birth of Schizophrenia
  • Madness and Craziness
  • Dysfunctional Lexical Access
  • Indirect Associations
  • What Pauses during Speech Reveal about Thoughts
  • Remote Ideas
  • Dopamine, Neuromodulation, Signal, and Noise
  • Neuromodulation
  • Noise: Not a Bug, but a Feature
  • Formal Thought Disorder as the Result of Decreased Signal-to-Noise
  • Intermediate Result
  • Meaning Electrified: EEG and Semantics
  • Associative and Working Memory
  • Metaphors and Concretism
  • Delusions
  • Acute Delusions and Neuromodulation
  • Chronic Delusions and Neuroplasticity
  • Recap
  • 12. Thoughts and Impressions
  • Back to the Basics: What Are Models?
  • Principles
  • Realistic and
  • Abstract Models
  • Models in Medicine
  • Computational Models of Emotions?
  • The Depression Spiral
  • Temperament, Character, and Personality
  • What Is Good for Children
  • Stability and Teddy Bear
  • Psychotherapy
  • User's Manual for Your Brain
  • Glossary
  • References
  • Index