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Download e-book for iPad: Computational Neuroscience: A Comprehensive Approach by FENG. JIANFENG, Jianfeng Feng

By FENG. JIANFENG, Jianfeng Feng

ISBN-10: 1584883626

ISBN-13: 9781584883623

Computational Neuroscience: A finished process offers a unified therapy of the mathematical thought of the worried approach and offers concrete examples demonstrating how computational concepts can remove darkness from tough neuroscience difficulties. In chapters contributed by way of most sensible researchers, the publication introduces the elemental mathematical recommendations, then examines modeling in any respect degrees, from single-channel and unmarried neuron modeling to neuronal networks and system-level modeling. The emphasis is on versions with shut ties to experimental observations and knowledge, and the authors assessment program of the versions to structures resembling olfactory bulbs, fly imaginative and prescient, and sensorymotor platforms.

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Soc. 357: 1137-1145. , and Derougemont, J. (1991). Long-term suppression of tremor by chronic stimulation of the ventral intermediate thalamic nucleus. Lancet 337: 403-406. (1999). Variability of firing of HodgkinHuxley and FitzHugh-Nagumo neurons with stochastic synaptic input. Phys. Rev. Lett. 82: 4731-4734. C. (1979). Firing rates of neurons with random excitation and inhibition. J. Theor. Biol. 80: 1-14. A. (1991). Elements of Information Theory. New York: Wiley. , Feng, J. , and Brown, D. (2000).

M. (1997). Activity-dependent properties of synaptic transmission at two classes of connections made by rat neocortical pyramidal axons in vitro. J. Physiol. 502: 131-147. [71] Todorov, E. (2002). Cosine tuning minimizes motor errors. Neural Computation 14: 1233-1260. C. (1975). Determination of the interspike times of neurons receiving randomly arriving postsynaptic potentials. Biol. Cybernetics 18: 225237. C. (1979). Synaptic transmission in a model for stochastic neural activity. J. Theor. Biol.

50,000 atoms or more. 3 Different schemes to separate interesting from less interesting regions in simulations. A. The partitioning of a system for BD calculations proposed by Im and Roux. Reproduced with permission from [63]. B. The partitioning of the system used by Burykin et al. The area within the black square is explicitly represented in the simulation. Reproduced with permission from [23]. Simulation methods used in both studies are different, but have in common that the interior of the protein is treated in most detail, whereas remote regions of the solvent and membrane are treated in very little detail.

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Computational Neuroscience: A Comprehensive Approach by FENG. JIANFENG, Jianfeng Feng


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