Memory and Epileptogenesis in Complex Biological and Simulated Systems
Klopp, John, Johnston, Patrick, Halgren, Eric, Marinkovich, Ksenija, & Nenov, Valeriy (1997) Memory and Epileptogenesis in Complex Biological and Simulated Systems. In Bower, James M. (Ed.) Computational Neuroscience : Trends in Research, 1997. Plenum Press, New York, pp. 359-364.
Oscillations of neural activity may bind widespread cortical areas into a neural representation that encodes disparate aspects of an event. In order to test this theory we have turned to data collected from complex partial epilepsy (CPE) patients with chronically implanted depth electrodes. Data from regions critical to word and face information processing was analyzed using spectral coherence measurements. Similar analyses of intracranial EEG (iEEG) during seizure episodes display HippoCampal Formation (HCF)—NeoCortical (NC) spectral coherence patterns that are characteristic of specific seizure stages (Klopp et al. 1996). We are now building a computational memory model to examine whether spatio-temporal patterns of human iEEG spectral coherence emerge in a computer simulation of HCF cellular distribution, membrane physiology and synaptic connectivity. Once the model is reasonably scaled it will be used as a tool to explore neural parameters that are critical to memory formation and epileptogenesis.
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|Item Type:||Book Chapter|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Biological Mathematics (010202)|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Psychology & Counselling
|Deposited On:||29 Jan 2015 00:15|
|Last Modified:||29 Oct 2015 16:49|
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