Neurodynamics: An Exploration in Mesoscopic Brain DynamicsSpringer Science & Business Media, 1 мар. 2000 г. - Всего страниц: 398 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 of that entity. The dimensions of a complex waveform are elementary waveforms from which that waveform can be built by simple addition. Any finite single-valued function of time is admissible. They are called basis functions (lO, 15), and they can be expressed in numeric as well as geometric form. |
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Walter Freeman. $ Springer 1842 PERSPECTIVES IN NEURAL COMPUTING Walter J. Freeman Neurodynamics An Exploration in Mesoscopic Brain Dynamics Perspectives in Neural Computing Springer London Berlin Heidelberg New York. Front Cover.
Walter Freeman. $ Springer 1842 PERSPECTIVES IN NEURAL COMPUTING Walter J. Freeman Neurodynamics An Exploration in Mesoscopic Brain Dynamics Perspectives in Neural Computing Springer London Berlin Heidelberg New York. Front Cover.
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... mesoscopic brain dynamics . ( Perspectives in neural computing ) 1.Neural networks ( Neurobiology ) 2.Brain I.Title 612.8'2 ISBN 1852336161 Library of Congress Cataloging - in - Publication Data Freeman , Walter J. Neurodynamics : an ...
... mesoscopic brain dynamics . ( Perspectives in neural computing ) 1.Neural networks ( Neurobiology ) 2.Brain I.Title 612.8'2 ISBN 1852336161 Library of Congress Cataloging - in - Publication Data Freeman , Walter J. Neurodynamics : an ...
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... mesoscopic carrier waves ( 1978 ) Spatial properties of an EEG event in the olfactory bulb and cortex . Electroencephalography and clinical Neurophysiology 44 : 586-605 10. Relations between microscopic and mesoscopic levels shown by ...
... mesoscopic carrier waves ( 1978 ) Spatial properties of an EEG event in the olfactory bulb and cortex . Electroencephalography and clinical Neurophysiology 44 : 586-605 10. Relations between microscopic and mesoscopic levels shown by ...
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... mesoscopic chaotic neurodynamics ( 1987 ) Simulation of chaotic EEG patterns with a dynamic model of the olfactory ... mesoscopic brain dynamics 313 351 ... 369 References Author Index Subject Index 377 387 391 Prolog The Need for ...
... mesoscopic chaotic neurodynamics ( 1987 ) Simulation of chaotic EEG patterns with a dynamic model of the olfactory ... mesoscopic brain dynamics 313 351 ... 369 References Author Index Subject Index 377 387 391 Prolog The Need for ...
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Neurodynamics: An Exploration in Mesoscopic Brain Dynamics Walter Freeman Ограниченный просмотр - 2012 |
Neurodynamics: An Exploration in Mesoscopic Brain Dynamics Walter Freeman Недоступно для просмотра - 2000 |
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action potentials amplitude analysis animals array attractor axons background activity basis functions behavioral brain bulbar cats cells chaotic chaotic attractor Chapter classification coefficients components correlation cortical curve decay rate decrease delay dendritic difference distributed dominant dynamics electrical electrodes equation evoked potential excitatory feedback gain feedback loop filter Freeman WJ frequency gamma glomerular impulse responses increase inhibitory input interactions KIII lateral olfactory tract limit cycle linear mean measurement mesoscopic mitral cells mitral-tufted msec negative feedback neocortical neural neurons Neurophysiol noise nonlinear normal odor bursts olfactory bulb olfactory system olfactory tract optimal oscillations oscillatory output parameters peak pentobarbital periglomerular phase pole population post-stimulus prepyriform cortex PST histograms pulse density pulse probability pyramidal cells rabbits range receptors recording root locus s-plane saturation sensory shown spatial patterns spectral stimulus intensity subset surface synaptic temporal tetanizing tion values variable waveform zero