Titlebook: Brain Dynamics; An Introduction to M Hermann Haken Book 2008Latest edition Springer-Verlag Berlin Heidelberg 2008 Computational Neuroscienc

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书目名称Brain Dynamics影响因子(影响力)




书目名称Brain Dynamics影响因子(影响力)学科排名




书目名称Brain Dynamics网络公开度




书目名称Brain Dynamics网络公开度学科排名




书目名称Brain Dynamics被引频次




书目名称Brain Dynamics被引频次学科排名




书目名称Brain Dynamics年度引用




书目名称Brain Dynamics年度引用学科排名




书目名称Brain Dynamics读者反馈




书目名称Brain Dynamics读者反馈学科排名

绝缘

The Neuron – Building Block of the Braine often form a treelike structure and the axon that, eventually, branches (Figs. 2.1 and 2.2). Information produced in other neurons is transferred to the neuron under consideration by means of localized contacts, the synapses, that are located on the dendrites and also on the cell body. Electrical

野蛮

Neuronal Cooperativity the visual system. Since a number of important experiments that concern the cooperation of neurons have been performed on this system, we will briefly describe it in this section. At the same time, we will see how this organization processes visual information. So let us follow up the individual st

死猫他烧焦

Spikes, Phases, Noise: How to Describe Them Mathematically? We Learn a Few Tricks and Some Importantis chapter. The speedy reader will read Sect. 4.1 that shows how to mathematically describe spikes (or short pulses). Section 4.4 deals with a simple model of how the conversion of axonal spikes into dendritic currents at a synapse can be modeled. Finally, we will need the fundamental concept of pha

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过于光泽

Many Neurons, General Case, Connection with Integrate and Fire ModelIn the present chapter we want to treat the more realistic model of Chap. 7 in detail. It connects the phase of the axonal pulses with the action potential . of the corresponding neuron and takes the damping of . into account. Furthermore, in accordance with other neuronal models, the response of th

仇恨

Pattern Recognition Versus Synchronization: Pattern Recognitionon is, indeed, a well-established experimental fact. Occasionally, in Sects. 6.4 and 6.5 we had a look at the capability of such a network to recognize patterns. The network we studied could perform pattern recognition only to some extent, especially it was not able to fully distinguish between patt

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Monotonous

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