Computational Neuroscience: A Comprehensive Approach

Couverture
Jianfeng Feng
CRC Press, 20 oct. 2003 - 656 pages
How does the brain work? After a century of research, we still lack a coherent view of how neurons process signals and control our activities. But as the field of computational neuroscience continues to evolve, we find that it provides a theoretical foundation and a set of technological approaches that can significantly enhance our understanding.
 

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Table des matières

1 A Theoretical Overview
1
2 Atomistic Simulations of Ion Channels
30
3 Modelling Neuronal Calcium Dynamics
70
4 StructureBased Models of NO Diffusion in the Nervous System
91
5 Stochastic Modelling of Single Ion Channels
126
6 The Biophysical Basis of Firing Variability in Cortical Neurons
153
7 Generating Quantitatively Accurate but Computationally Concise Models of Single Neurons
185
8 Bursting Activity in Weakly Electric Fish
217
High and LowLevel Views
337
Stimulus Localisation in the Barrel Cortex
368
14 Modelling Fly Motion Vision
389
15 MeanField Theory of Irregularly Spiking Neuronal Populations and Working Memory in Recurrent Cortical Networks
425
16 The Operation of Memory Systems in the Brain
485
17 Modelling Motor Control Paradigms
532
18 Computational Models for Generic Cortical Microcircuits
570
19 Modelling Primate Visual Attention
604

9 Likelihood Methods for Neural Spike Train Data Analysis
252
10 BiologicallyDetailed Network Modelling
284
11 Hebbian Learning and SpikeTimingDependent Plasticity
300

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