Memory and Epileptogenesis in Complex Biological and Simulated Systems


Autoria(s): Klopp, John; Johnston, Patrick; Halgren, Eric; Marinkovich, Ksenija; Nenov, Valeriy
Contribuinte(s)

Bower, James M.

Data(s)

1997

Resumo

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.

Identificador

http://eprints.qut.edu.au/81277/

Publicador

Plenum Press

Relação

DOI:10.1007/978-1-4757-9800-5_58

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.

Fonte

Faculty of Health; Institute of Health and Biomedical Innovation; School of Psychology & Counselling

Palavras-Chave #010202 Biological Mathematics
Tipo

Book Chapter