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Titlebook: Neurodynamics: An Exploration in Mesoscopic Brain Dynamics; Walter J. Freeman Book 2000 Springer-Verlag London 2000 Artifical Neural Netwo

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书目名称Neurodynamics: An Exploration in Mesoscopic Brain Dynamics
编辑Walter J. Freeman
视频video
丛书名称Perspectives in Neural Computing
图书封面Titlebook: Neurodynamics: An Exploration in Mesoscopic Brain Dynamics;  Walter J. Freeman Book 2000 Springer-Verlag London 2000 Artifical Neural Netwo
描述Cortical evoked potentials are of interest primarily as tests of changing neuronal excitabilities accompanying normal brain function. The first three steps in the anal­ ysis of these complex waveforms are proper placement of electrodes for recording, the proper choice of electrical or sensory stimulus parameters, and the establish­ ment of behavioral control. The fourth is development of techniques for reliable measurement. Measurement consists of comparison of an unknown entity with a set of standard scales or dimensions having numerical attributes in preassigned degree. A physical object can be described by the dimensions of size, mass, density, etc. In addition there are dimensions such as location, velocity, weight, hardness, etc. Some of these dimensions can be complex (e. g. size depends on three or more subsidiary coordi­ nates), and some can be interdependent or nonorthogonal (e. g. specification of size and mass may determine density). In each dimension the unit is defined with refer­ ence to a standard physical entity, e. g. a unit of mass or length, and the result of measurement is expressed as an equivalence between the unknown and the sum of a specified number of units
出版日期Book 2000
关键词Artifical Neural Networks; Cognitive Science; Cortex; Neural Computing; Neurophysiology; Pattern Recognit
版次1
doihttps://doi.org/10.1007/978-1-4471-0371-4
isbn_softcover978-1-85233-616-5
isbn_ebook978-1-4471-0371-4Series ISSN 1431-6854
issn_series 1431-6854
copyrightSpringer-Verlag London 2000
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Neurodynamics: An Exploration in Mesoscopic Brain Dynamics978-1-4471-0371-4Series ISSN 1431-6854
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Perspectives in Neural Computinghttp://image.papertrans.cn/n/image/663997.jpg
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Links Between Microscopic Neurons and Mesoscopic Neural AssembliesFurther progress in mesoscopic brain dynamics can be expected in both directions, downardly into cell biology and upwardly into macroscopic brain theories and their cognitive applications.
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Root Locus Analysis of Piecewise Linearized Models with Multiple Feedback Loops and Unilateral or Biials (“units”) of single neurons and the amplitude of EEG waves and averaged evoked potentials (mainly due to dendritic current). First, the probability of impulse firing of the inhibitory neurons would oscillate at the same frequency and decay rate as the oscillations in the firing probability of t
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