Spikes: Exploring the Neural Code (Computational Neuroscience) by Fred Rieke  (11)
$32.30
|
Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience) by Christof Koch (8)
$60.00
|
Principles of Neural Science by Eric R. Kandel (40)
$86.78
|
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems by Peter Dayan  (6)
$36.00
|
Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience) by Eugene M. Izhikevich (3)
$49.60
|
This item is not eligible for Amazon Prime, but millions of other items are. Join Amazon Prime today. Already a member? Sign in.
|
|||||||||
Customers Who Bought Items Like This Also Bought
Editorial Reviews
Book Description
The thirty original contributions in this book provide a working definition of "computational neuroscience" as the area in which problems lie simultaneously within computer science and neuroscience. They review this emerging field in historical and philosophical overviews and in stimulating summaries of recent results. Leading researchers address the structure of the brain and the computational problems associated with describing and understanding this structure at the synaptic, neural, map, and system levels. The overview chapters discuss the early days of the field, provide a philosophical analysis of the problems associated with confusion between brain metaphor and brain theory, and take up the scope and structure of computational neuroscience. Synaptic-level structure is addressed in chapters that relate the properties of dendritic branches, spines, and synapses to the biophysics of computation and provide a connection between real neuron architectures and neural network simulations. The network-level chapters take up the preattentive perception of 3-D forms, oscillation in neural networks, the neurobiological significance of new learning models, and the analysis of neural assemblies and local learning rides. Map-level structure is explored in chapters on the bat echolocation system, cat orientation maps, primate stereo vision cortical cognitive maps, dynamic remapping in primate visual cortex, and computer-aided reconstruction of topographic and columnar maps in primates. The system-level chapters focus on the oculomotor system VLSI models of early vision, schemas for high-level vision, goal-directed movements, modular learning, effects of applied electric current fields on cortical neural activity neuropsychological studies of brain and mind, and an information-theoretic view of analog representation in striate cortex. Eric L. Schwartz is Professor of Brain Research and Research Professor of Computer Science, Courant Institute of Mathematical Sciences, New York University Medical Center. Computational Neuroscience is included in the System Development Foundation Benchmark Series.
About the Author
Eric L. Schwartz is Professor of Cognitive and Neural Systems at Boston University. --This text refers to the Paperback edition.
The thirty original contributions in this book provide a working definition of "computational neuroscience" as the area in which problems lie simultaneously within computer science and neuroscience. They review this emerging field in historical and philosophical overviews and in stimulating summaries of recent results. Leading researchers address the structure of the brain and the computational problems associated with describing and understanding this structure at the synaptic, neural, map, and system levels. The overview chapters discuss the early days of the field, provide a philosophical analysis of the problems associated with confusion between brain metaphor and brain theory, and take up the scope and structure of computational neuroscience. Synaptic-level structure is addressed in chapters that relate the properties of dendritic branches, spines, and synapses to the biophysics of computation and provide a connection between real neuron architectures and neural network simulations. The network-level chapters take up the preattentive perception of 3-D forms, oscillation in neural networks, the neurobiological significance of new learning models, and the analysis of neural assemblies and local learning rides. Map-level structure is explored in chapters on the bat echolocation system, cat orientation maps, primate stereo vision cortical cognitive maps, dynamic remapping in primate visual cortex, and computer-aided reconstruction of topographic and columnar maps in primates. The system-level chapters focus on the oculomotor system VLSI models of early vision, schemas for high-level vision, goal-directed movements, modular learning, effects of applied electric current fields on cortical neural activity neuropsychological studies of brain and mind, and an information-theoretic view of analog representation in striate cortex. Eric L. Schwartz is Professor of Brain Research and Research Professor of Computer Science, Courant Institute of Mathematical Sciences, New York University Medical Center. Computational Neuroscience is included in the System Development Foundation Benchmark Series.
About the Author
Eric L. Schwartz is Professor of Cognitive and Neural Systems at Boston University. --This text refers to the Paperback edition.
Product Details
Would you like to update product info or give feedback on images?
|
Look Inside This Book
Citations
(learn more)
58
books
cite this book:
See all 58 books citing this book
- Cognitive Ecology: The Evolutionary Ecology of Information Processing and Decision Making by Reuven Dukas on 4 pages
- Minds, Brains, and Computers: An Historical Introduction to the Foundations of Cognitive Science (Blackwell Philosophy Anthologies) by Denise Dellarosa Cummins on page 216, page 271, and page 418
- Understanding Cognitive Science by Michael R. W. Dawson in Back Matter (1), Back Matter (2), and Back Matter (3)
- Descartes' Error: Emotion, Reason, and the Human Brain by Antonio R. Damasio in Back Matter (1), Back Matter (2), and Back Matter (3)
- Connectionism and the Mind: Parallel Processing, Dynamics, and Evolution in Networks by William Bechtel in Back Matter (1), and Back Matter (2)
See all 58 books citing this book
Customers Who Viewed This Item Also Viewed
The Symbolic and Connectionist Paradigms: Closing the Gap (The Cognitive Science Series : Technical Monographs and Edited Collection) by John Dinsmore
$59.95
|
Inference And Anticipation In Simultaneous Interpreting: A Probability-prediction Model (Benjamins Translation Library) by G. V. Chernov
$173.00
|
Complex Variables by M.R. Spiegel |
Number Theory: Tradition and Modernization (Developments in Mathematics) by Wenpeng Zhang
$115.00
|
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems by Peter Dayan (6)
$36.00
|