Memory and the computational brain : why cognitive science will transform neuroscience /: why cognitive science will transform neuroscience. (2011)

• Record Type: Book
• Further Information: Note: C. R. Gallistel and Adam Philip King.
• Other Names: Gallistel, C. R, 1941-; King, Adam Philip
• Contents: Preface; ; 1. Information; ; Shannon’s Theory of Communication; ; Measuring Information; ; Efficient Coding; ; Information and the Brain; ; Digital and Analog Signals; ; Appendix: The Information Content of Rare Versus Common Events and Signals; ; 2. Bayesian Updating; ; Bayes’ Theorem and Our Intuitions About Evidence; ; Using Bayes’ Rule; ; Summary; ; 3. Functions; ; Functions of One Argument; ; Composition and Decomposition of Functions; ; Functions of More than One Argument; ; The Limits to Functional Decomposition; ; Functions Can Map to Multi-Part Outputs; ; Mapping to Multiple-Element Outputs Does Not Increase Expressive Power; ; Defining Particular Functions; ; Summary: Physical/Neurobiological Implications of Facts about Functions; ; 4. Representations; ; Some Simple Examples; ; Notation; ; The Algebraic Representation of Geometry; ; 5. Symbols; ; Physical Properties of Good Symbols; ; Symbol Taxonomy; ; Summary; ; 6. Procedures; ; Algorithms; ; Procedures, Computation, and Symbols; ; Coding and Procedures; ; Two Senses of Knowing; ; A Geometric Example; ; 7. Computation; ; Formalizing Procedures; ; The Turing Machine; ; Turing Machine for the Successor Function; ; Turing Machines for ƒ is _even ; ; Turing Machines for ƒ+ ; ; Minimal Memory Structure; ; General Purpose Computer; ; Summary; ; 8. Architectures; ; One-Dimensional Look-Up Tables (If-Then Implementation); ; Adding State Memory: Finite-State Machines; ; Adding Register Memory; ; Summary; ; 9. Data Structures; ; Finding Information in Memory; ; An Illustrative Example; ; Procedures and the Coding of Data Structures; ; The Structure of the Read-Only Biological Memory; ; 10. Computing with Neurons; ; Transducers and Conductors; ; Synapses and the Logic Gates; ; The Slowness of It All; ; The Time-Scale Problem; ; Synaptic Plasticity; ; Recurrent Loops in Which Activity Reverberates; ; 11. The Nature of Learning; ; Learning As Rewiring; ; Synaptic Plasticity and the Associative Theory of Learning; ; Why Associations Are Not Symbols; ; Distributed Coding; ; Learning As the Extraction and Preservation of Useful Information; ; Updating an Estimate of One’s Location; ; 12. Learning Time and Space; ; Computational Accessibility; ; Learning the Time of Day; ; Learning Durations; ; Episodic Memory; ; 13. The Modularity of Learning; ; Example 1: Path Integration; ; Example 2: Learning the Solar Ephemeris; ; Example 3: “Associative” Learning; ; Summary; ; 14. Dead Reckoning in a Neural Network; ; Reverberating Circuits as Read/Write Memory Mechanisms; ; Implementing Combinatorial Operations by Table-Look-Up; ; The Full Model; ; The Ontogeny of the Connections?; ; How Realistic is the Model?; ; Lessons to be Drawn; ; Summary; ; 15. Neural Models of Interval Timing; ; Timing an Interval on First Encounter; ; Dworkin’s Paradox; ; Neurally Inspired Models; ; The Deeper Problems; ; 16. The Molecular Basis of Memory; ; The Need to Separate Theory of Memory from Theory of Learning; ; The Coding Question; ; A Cautionary Tale; ; Why Not Synaptic Conductance?; ; A Molecular or Sub-Molecular Mechanism?; ; Bringing the Data to the Computational Machinery; ; Is It Universal?; ; References; ; Glossary; ; Index.
• Publisher Details: Place of publication not identified : Wiley-Blackwell
• Publication Date: 2011
• Extent: 1 online resource (336 pages)
• Subjects: 612.82; Cognitive neuroscience; Cognitive science
• Languages: English
• ISBNs: 9781444359763
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.