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Computational neuroscience

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Computational neuroscience

Material type
図書
Author
-
Publisher
MIT Press
Publication date
1989-
Material Format
Paper
Capacity, size, etc.
-
NDC
-
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Notes on use

Note (General):

"A Bradford book"Editors: Terrence J. Sejnowski and Tomaso A. poggio--([c2000])Non-numbered. First issued "Methods in neural modeling" (C.Koch & I.Seg...

Related materials as well as pre- and post-revision versions

Theoretical neuroscience : computational and mathematical modeling of neural systemsLeave the NDL website. Theoretical neuroscience : computational and mathematical modeling of neural systemsLeave the NDL website. The theoretical foundation of dendritic function : selected papers of Wilfrid Rall with commentariesLeave the NDL website. Fast oscillations in cortical circuitsLeave the NDL website. Principles of brain dynamics : global state interactionsLeave the NDL website. The computational brainLeave the NDL website. Brain computation as hierarchical abstractionLeave the NDL website. The computational neurobiology of reaching and pointing : a foundation for motor learningLeave the NDL website. Self-organizing map formation : foundations of neural computationLeave the NDL website. Visual population codes : toward a common multivariate framework for cell recording and functional imagingLeave the NDL website. Graphical models : foundations of neural computationLeave the NDL website. Neural nets in electric fishLeave the NDL website. Computational modeling methods for neuroscientistsLeave the NDL website. Models of information processing in the basal gangliaLeave the NDL website. Neural control engineering : the emerging intersection between control theory and neuroscienceLeave the NDL website. The computational brainLeave the NDL website. Neural codes and distributed representations : foundations of neural computationLeave the NDL website. From neuron to cognition via computational neuroscienceLeave the NDL website. Fundamentals of neural network modeling : neuropsychology and cognitive neuroscienceLeave the NDL website. Bayesian brain : probabilistic approaches to neural codingLeave the NDL website. Methods in neuronal modeling : from ions to networksLeave the NDL website. The computational brainLeave the NDL website. Methods in neuronal modeling : from synapses to networksLeave the NDL website. Dynamical systems in neuroscience : the geometry of excitability and burstingLeave the NDL website. Computational vision : information processing in perception and visual behaviorLeave the NDL website. An introductory course in computational neuroscienceLeave the NDL website. Neurons, networks, and motor behaviorLeave the NDL website. Bayesian brain : probabilistic approaches to neural codingLeave the NDL website. Unsupervised learning : foundations of neural computationLeave the NDL website. Dynamical systems in neuroscience : the geometry of excitability and burstingLeave the NDL website. Neurons, networks, and motor behaviorLeave the NDL website. Large-scale neuronal theories of the brainLeave the NDL website. Methods in neuronal modeling : from synapses to networksLeave the NDL website. Dynamic biological networks : the stomatogastric nervous systemLeave the NDL website. Neural engineering : computation, representation, and dynamics in neurobiological systemsLeave the NDL website. Biological learning and control : how the brain builds representations, predicts events, and makes decisionsLeave the NDL website. Spikes : exploring the neural codeLeave the NDL website. Spikes : exploring the neural codeLeave the NDL website. The neurobiology of neural networksLeave the NDL website. Visual cortex and deep networks : learning invariant representationsLeave the NDL website.

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Table of Contents

  • Theoretical neuroscience : computational and mathematical modeling of neural systems

  • Theoretical neuroscience : computational and mathematical modeling of neural systems

  • The theoretical foundation of dendritic function : selected papers of Wilfrid Rall with commentaries

  • Fast oscillations in cortical circuits

  • Principles of brain dynamics : global state interactions

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Paper

Material Type
図書
Publication, Distribution, etc.
Publication Date
1989-
Publication Date (W3CDTF)
1989
Place of Publication (Country Code)
us
Target Audience
一般
Note (General)
"A Bradford book"
Editors: Terrence J. Sejnowski and Tomaso A. poggio--([c2000])
Non-numbered. First issued "Methods in neural modeling" (C.Koch & I.Segev ed., 1989)
Related Material
Theoretical neuroscience : computational and mathematical modeling of neural systems
Theoretical neuroscience : computational and mathematical modeling of neural systems
The theoretical foundation of dendritic function : selected papers of Wilfrid Rall with commentaries
Fast oscillations in cortical circuits
Principles of brain dynamics : global state interactions
The computational brain
Brain computation as hierarchical abstraction
The computational neurobiology of reaching and pointing : a foundation for motor learning
Self-organizing map formation : foundations of neural computation
Visual population codes : toward a common multivariate framework for cell recording and functional imaging
Graphical models : foundations of neural computation
Neural nets in electric fish
Computational modeling methods for neuroscientists
Models of information processing in the basal ganglia
Neural control engineering : the emerging intersection between control theory and neuroscience
The computational brain
Neural codes and distributed representations : foundations of neural computation
From neuron to cognition via computational neuroscience
Fundamentals of neural network modeling : neuropsychology and cognitive neuroscience
Bayesian brain : probabilistic approaches to neural coding
Methods in neuronal modeling : from ions to networks
The computational brain
Methods in neuronal modeling : from synapses to networks
Dynamical systems in neuroscience : the geometry of excitability and bursting
Computational vision : information processing in perception and visual behavior
An introductory course in computational neuroscience
Neurons, networks, and motor behavior
Bayesian brain : probabilistic approaches to neural coding
Unsupervised learning : foundations of neural computation
Dynamical systems in neuroscience : the geometry of excitability and bursting
Neurons, networks, and motor behavior
Large-scale neuronal theories of the brain
Methods in neuronal modeling : from synapses to networks
Dynamic biological networks : the stomatogastric nervous system
Neural engineering : computation, representation, and dynamics in neurobiological systems
Biological learning and control : how the brain builds representations, predicts events, and makes decisions
Spikes : exploring the neural code
Spikes : exploring the neural code
The neurobiology of neural networks
Visual cortex and deep networks : learning invariant representations