Simulated generation of evoked potentials components using networks with distinct excitatory and inhibitory neurons
Long latency evoked potentials (EPs) are electrical potentials related to brain information processing mechanisms. A three-layered neurophysiologically based artificial neural network model is presented whose neurons obey to Dale's law. The first two layers of the network can memorize and recal...
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| Veröffentlicht in: | IEEE journal of biomedical and health informatics 2000-09, Vol.4 (3), p.238-246 |
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| creator | Ventouras, E. Uzunoglu, N.K. Koutsouris, D. Papageorgiou, C. Rabavilas, A. Stefanis, C. |
| description | Long latency evoked potentials (EPs) are electrical potentials related to brain information processing mechanisms. A three-layered neurophysiologically based artificial neural network model is presented whose neurons obey to Dale's law. The first two layers of the network can memorize and recall sparsely coded patterns, oscillating at biologically plausible frequencies. Excitatory low-pass filtering synapses, from the second to the third layer, create evoked current dipoles, when the network retrieves memories related to stimuli. Based on psychophysiological indications, simulated intracranial dipoles are straightforwardly transformed into long latency EP components such as N/sub 100/ and P/sub 300/ that match laboratory-measured scalp EPs. |
| doi_str_mv | 10.1109/4233.870034 |
| format | Article |
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| source | IEEE Electronic Library (IEL) |
| subjects | Artificial neural networks Biological information theory Biological system modeling Biomedical Engineering Brain modeling Delay Electric potential Evoked Potentials Frequency Humans Information processing Low pass filters Models, Neurological Nerve Net - physiology Neural Networks (Computer) Neurons |
| title | Simulated generation of evoked potentials components using networks with distinct excitatory and inhibitory neurons |
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