Lectures in Supercomputational Neurosciences Dynamics in Complex Brain Networks /
Computational Neuroscience is a burgeoning field of research where only the combined effort of neuroscientists, biologists, psychologists, physicists, mathematicians, computer scientists, engineers and other specialists, e.g. from linguistics and medicine, seem to be able to expand the limits of our...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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| Σειρά: | Understanding Complex Systems,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Neurophysiology
- Foundations of Neurophysics
- Synapses and Neurons: Basic Properties and Their Use in Recognizing Environmental Signals
- Complex Networks
- Structural Characterization of Networks Using the Cat Cortex as an Example
- Organization and Function of Complex Cortical Networks
- Synchronization Dynamics in Complex Networks
- Synchronization Analysis of Neuronal Networks by Means of Recurrence Plots
- Cognition and Higher Perception
- Neural and Cognitive Modeling with Networks of Leaky Integrator Units
- A Dynamic Model of the Macrocolumn
- Implementations
- Building a Large-Scale Computational Model of a Cortical Neuronal Network
- Maintaining Causality in Discrete Time Neuronal Network Simulations
- Sequential and Parallel Implementation of Networks
- Applications
- Parametric Studies on Networks of Morris-Lecar Neurons
- Traversing Scales: Large Scale Simulation of the Cat Cortex Using Single Neuron Models
- Parallel Computation of Large Neuronal Networks with Structured Connectivity.
