Neurodynamics: An Exploration in Mesoscopic Brain Dynamics:
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 stimul...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
2000
|
| Ausgabe: | 1st ed. 2000 |
| Schriftenreihe: | Perspectives in Neural Computing
|
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (X, 398 p. 32 illus) |
| ISBN: | 9781447103714 |
| DOI: | 10.1007/978-1-4471-0371-4 |
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| 520 | |a 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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| discipline_str_mv | Informatik Psychologie Medizin |
| doi_str_mv | 10.1007/978-1-4471-0371-4 |
| edition | 1st ed. 2000 |
| format | Electronic eBook |
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| spelling | Freeman, Walter Verfasser aut Neurodynamics: An Exploration in Mesoscopic Brain Dynamics by Walter Freeman 1st ed. 2000 London Springer London 2000 1 Online-Ressource (X, 398 p. 32 illus) txt rdacontent c rdamedia cr rdacarrier Perspectives in Neural Computing 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 Neurosciences Artificial Intelligence Pattern Recognition Neurology Artificial intelligence Pattern recognition Neurology Erscheint auch als Druck-Ausgabe 9781852336165 Erscheint auch als Druck-Ausgabe 9781447103721 https://doi.org/10.1007/978-1-4471-0371-4 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Freeman, Walter Neurodynamics: An Exploration in Mesoscopic Brain Dynamics Neurosciences Artificial Intelligence Pattern Recognition Neurology Artificial intelligence Pattern recognition Neurology |
| title | Neurodynamics: An Exploration in Mesoscopic Brain Dynamics |
| title_auth | Neurodynamics: An Exploration in Mesoscopic Brain Dynamics |
| title_exact_search | Neurodynamics: An Exploration in Mesoscopic Brain Dynamics |
| title_exact_search_txtP | Neurodynamics: An Exploration in Mesoscopic Brain Dynamics |
| title_full | Neurodynamics: An Exploration in Mesoscopic Brain Dynamics by Walter Freeman |
| title_fullStr | Neurodynamics: An Exploration in Mesoscopic Brain Dynamics by Walter Freeman |
| title_full_unstemmed | Neurodynamics: An Exploration in Mesoscopic Brain Dynamics by Walter Freeman |
| title_short | Neurodynamics: An Exploration in Mesoscopic Brain Dynamics |
| title_sort | neurodynamics an exploration in mesoscopic brain dynamics |
| topic | Neurosciences Artificial Intelligence Pattern Recognition Neurology Artificial intelligence Pattern recognition Neurology |
| topic_facet | Neurosciences Artificial Intelligence Pattern Recognition Neurology Artificial intelligence Pattern recognition Neurology |
| url | https://doi.org/10.1007/978-1-4471-0371-4 |
| work_keys_str_mv | AT freemanwalter neurodynamicsanexplorationinmesoscopicbraindynamics |