Computational Models

Computational models allow the simulation of variables exhibiting properties which can change in space and time. Until recently many computational models were not developed to primarily investigate the spatial properties of seizures, instead focussing on the temporal aspects. I have developed models which have parameters that are constrained by data, directly derived from patient recordings. The models are then validated against recordings from another modality.

Example Publications

1. Taylor, P.N., Baier, G., 2011. A spatially extended model for macroscopic spike-wave discharges, Journal of Computational Neuroscience 3(3), 679-6841
2. Taylor, P.N., Goodfellow, M., Wang, Y., Baier G., 2013, Towards a large scale model of epileptic spike-wave discharges, Biological Cybernetics 107 (1), 83-94
3. Taylor, P.N., Kaiser, M., Dauwels., 2014 Structural connectivity based whole brain modelling in epilepsy, Journal of Neuroscience Methods 236, 51-57 *Review article
4. Baier, G., Taylor, P.N., Wang, Y., 2017, Understanding epileptiform after-discharges as rhythmic oscillatory transients, Frontiers in Computational Neuroscience, 11:25

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Computational model of epileptiform spike-wave oscillations. Image taken from ref. 1.

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