Nonlinear dynamics and neural systems: Synchronization and modeling
We study the electrical activity of the human cortex in two ways. First, we state seven coupling measures to analyze electroencephalogram and electrocortiogram time series. We apply these measures to simulated and observed data, and we use the measures to deduce changes in coupling induced by audito...
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University Of California, Berkeley
2007
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| Truy cập trực tuyến: | http://ir.vnulib.edu.vn/handle/123456789/1261 |
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oai:192.168.1.90:123456789-12612022-03-28T10:19:20Z Nonlinear dynamics and neural systems: Synchronization and modeling Kramer, Mark Alan Động lực phi tuyến Neural networks (Computer science) We study the electrical activity of the human cortex in two ways. First, we state seven coupling measures to analyze electroencephalogram and electrocortiogram time series. We apply these measures to simulated and observed data, and we use the measures to deduce changes in coupling induced by auditory stimuli and produced by dementia. Second, we define a mathematical model of the spatially averaged, mean-field cortical electrical activity recorded by the electroencephalograph and electrocortiograph. We compare the model results with ictal electrocortical data collected from four human subjects, and we show that the observed and simulated results agree in two important ways. We use the model to develop three methods for controlling seizures through electrical stimulation and to suggest the physiological mechanisms — and points of leverage for therapies — of epilepsy. We study the electrical activity of the human cortex in two ways. First, we state seven coupling measures to analyze electroencephalogram and electrocortiogram time series. We apply these measures to simulated and observed data, and we use the measures to deduce changes in coupling induced by auditory stimuli and produced by dementia. Second, we define a mathematical model of the spatially averaged, mean-field cortical electrical activity recorded by the electroencephalograph and electrocortiograph. We compare the model results with ictal electrocortical data collected from four human subjects, and we show that the observed and simulated results agree in two important ways. We use the model to develop three methods for controlling seizures through electrical stimulation and to suggest the physiological mechanisms — and points of leverage for therapies — of epilepsy. 2007-12-11T07:15:16Z 2007-12-11T07:15:16Z 2005 Thesis http://ir.vnulib.edu.vn/handle/123456789/1261 en_US Doctor of Philosophy application/pdf University Of California, Berkeley |
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Đại học Quốc Gia Hồ Chí Minh |
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en_US |
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Động lực phi tuyến Neural networks (Computer science) |
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Động lực phi tuyến Neural networks (Computer science) Kramer, Mark Alan Nonlinear dynamics and neural systems: Synchronization and modeling |
| description |
We study the electrical activity of the human cortex in two ways. First, we state seven coupling measures to analyze electroencephalogram and electrocortiogram time series. We apply these measures to simulated and observed data, and we use the measures to deduce changes in coupling induced by auditory stimuli and produced by dementia. Second, we define a mathematical model of the spatially averaged, mean-field cortical electrical activity recorded by the electroencephalograph and electrocortiograph. We compare the model results with ictal electrocortical data collected from four human subjects, and we show that the observed and simulated results agree in two important ways. We use the model to develop three methods for controlling seizures through electrical stimulation and to suggest the physiological mechanisms — and points of leverage for therapies — of epilepsy. |
| format |
Thesis |
| author |
Kramer, Mark Alan |
| author_facet |
Kramer, Mark Alan |
| author_sort |
Kramer, Mark Alan |
| title |
Nonlinear dynamics and neural systems: Synchronization and modeling |
| title_short |
Nonlinear dynamics and neural systems: Synchronization and modeling |
| title_full |
Nonlinear dynamics and neural systems: Synchronization and modeling |
| title_fullStr |
Nonlinear dynamics and neural systems: Synchronization and modeling |
| title_full_unstemmed |
Nonlinear dynamics and neural systems: Synchronization and modeling |
| title_sort |
nonlinear dynamics and neural systems: synchronization and modeling |
| publisher |
University Of California, Berkeley |
| publishDate |
2007 |
| url |
http://ir.vnulib.edu.vn/handle/123456789/1261 |
| work_keys_str_mv |
AT kramermarkalan nonlineardynamicsandneuralsystemssynchronizationandmodeling |
| _version_ |
1749008373114732544 |