Computational Neuroscience: A Comprehensive ApproachJianfeng 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. |
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 |
11 Hebbian Learning and SpikeTimingDependent Plasticity | 300 |
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 |
9 Likelihood Methods for Neural Spike Train Data Analysis | 252 |
10 BiologicallyDetailed Network Modelling | 284 |
19 Modelling Primate Visual Attention | 604 |
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Expressions et termes fréquents
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