Dr Peter Taylor
- Email: firstname.lastname@example.org
- Telephone: +44 191 208 7975
- Personal Website: https://sites.google.com/view/peternealtaylor/
- Address: Room 5.016
Urban Sciences Building
School of Computing
Newcastle upon Tyne
I trained in computer science and software engineering before doing a masters degree in computational molecular biology in Manchester. I completed my PhD in 2013, studying dynamical systems theory and computational modelling in epilepsy with Gerold Baier. I have since undertaken postdoctoral work at NTU Singapore, MGH Boston, and in Newcastle before starting a faculty fellowship in Newcastle in 2015.
My research is focused on using computational methods to understand brain function and in the case of disease, brain dysfunction. I use methods from mathematical modelling, dynamical systems and graph theory to investigate complex brain network dynamics. I use functional data such as EEG, MEG and fMRI in addition to structural data derived from MRI and diffusion MRI.
Primarily I work on epilepsy and traumatic brain injury.
I am jointly based in the Institute of Neuroscience (Faculty of Medical Sciences), and the School of Computing Science (School of Agriculture & Engineering). In the Institute of Neuroscience I work with Dr Rob Forsyth, consultant neurologist at the RVI and senior lecturer. Within Computing Science I am based in the Interdisciplinary Computing and Complex BioSystems (ICOS) group.
ResearchMy research is focused on using computational methods to understand brain function and in the case of disease, brain dysfunction. I use methods from mathematical modelling, dynamical systems and graph theory to investigate complex brain network dynamics. I use functional data such as EEG, MEG and fMRI in addition to structural data derived from MRI and diffusion MRI.
Primarily I work on epilepsy and traumatic brain injury.
- Baier G, Taylor PN, Wang Y. Understanding Epileptiform After-Discharges as Rhythmic Oscillatory Transients. Frontiers in Computational Neuroscience 2017, 11, 25.
- Wang Y, Trevelyan AJ, Valentin A, Alarcon G, Taylor PN, Kaiser M. Mechanisms underlying different onset patterns of focal seizures. PLoS Computational Biology 2017, 13(5), e1005475.
- Taylor PN, Wang Y, Kaiser M. Within brain area tractography suggests local modularity using high resolution connectomics. Scientific Reports 2017, 7, 39859.
- Sinha N, Dauwels J, Kaiser M, Cash SS, Westover MB, Wang Y, Taylor PN. Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling. Brain 2016, Epub ahead of print.
- Taylor PN, Forsyth R. Heterogeneity of trans-callosal structural connectivity and effects on resting state subnetwork integrity may underlie both wanted and unwanted effects of therapeutic corpus callostomy. NeuroImage: Clinical 2016, 12, 341-347.
- Hutchings F, Han CE, Keller SS, Weber B, Taylor PN, Kaiser M. Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations. PLoS Computational Biology 2015, 11(12), e1004642.
- Basu A, Taylor PN, Lowther E, Forsyth EO, Blamire A, Forsyth R. Structural connectivity in a paediatric case of anarchic hand syndrome. BMC Neurology 2015, 15, 234.
- Taylor PN, Thomas J, Sinha N, Dauwels J, Kaiser M, Thesen T, Ruths J. Optimal control based seizure abatement using patient derived connectivity. Frontiers in Neuroscience 2015, 9, 202.
- Taylor PN, Han CE, Schoene-Bake J-C, Weber B, Kaiser M. Structural connectivity changes in temporal lobe epilepsy: Spatial features contribute more than topological measures. NeuroImage: Clinical 2015, 8, 322-328.
- Taylor PN, Wang Y, Goodfellow M, Dauwels J, Moeller F, Stephani U, Baier G. A Computational Study of Stimulus Driven Epileptic Seizure Abatement. PLoS One 2014, 1-26.
- Taylor PN, Kaiser M, Dauwels J. Structural connectivity based whole brain modelling in epilepsy. Journal of Neuroscience Methods 2014, 236, 51-57.
- Sinha N, Dauwels J, Wang Y, Cash SS, Taylor PN. An in silico approach for pre-surgical evaluation of an epileptic cortex. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2014, Chicago, IL, USA: IEEE.
- Wang Y, Goodfellow M, Taylor PN, Baier G. Dynamic Mechanisms of Neocortical Focal Seizure Onset. PLoS Computational Biology 2014, 10(8), e1003787.
- Taylor PN, Goodfellow M, Wang Y, Baier G. Towards a large-scale model of patient-specific epileptic spike-wave discharges. Biological Cybernetics 2013, 107(1), 83-94.
- Taylor PN, Baier G, Cash SS, Dauwels J, Slotine JJ, Wang Y. A model of stimulus induced epileptic spike-wave discharges. In: IEEE Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB). 2013, Singapore: IEEE.
- Goodfellow M, Taylor PN, Wang Y, Garry DJ, Baier G. Modelling the role of tissue heterogeneity in epileptic rhythms. European Journal of Neuroscience 2012, 36(2), 2178-2187.
- Wang Y, Goodfellow M, Taylor PN, Baier G. Phase space approach for modeling of epileptic dynamics. Physical Review E 2012, 85(6), 061918.
- Geenen S, Taylor PN, Snoep JL, Wilson ID, Kenna JG, Westerhoff HV. Systems biology tools for toxicology. Archives of Toxicology 2012, 86(8), 1251-1271.
- Baier G, Goodfellow M, Taylor PN, Wang Y, Garry DJ. The importance of modeling epileptic seizure dynamics as spatio-temporal patterns. Frontiers in Physiology 2012, 3, 281.
- Taylor PN, Baier G. A spatially extended model for macroscopic spike-wave discharges. Journal of Computational Neuroscience 2011, 31(3), 679-684.
- Sinha N, Dauwels J, Kaiser M, Cash SS, Westover BM, Wang Y, Taylor PN. Reply: Computer models to inform epilepsy surgery strategies: Prediction of postoperative outcome. Brain 2017, 140(5), e31.
- Sinha N, Taylor PN, Dauwels J, Ruths J. Development of optimal stimuli in a heterogeneous model of epileptic spike-wave oscillations. In: IEEE International Conference on Systems, Man and Cybernetics (SMC). 2014, San Diego, CA, USA: IEEE.