Dr Peter Taylor
- Email: firstname.lastname@example.org
- Telephone: +44 191 208 7975
- Personal Website: https://sites.google.com/view/peternealtaylor/
- Address: School of Computing,
Room 5.016, Urban Sciences Building,
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.
Area of expertise: Computer modelling, Neuroimaging, Complex networks, EEG, Epilepsy, Brain injury
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.
- Taylor PN, Sinha N, Wang Y, Vos SB, deTisi J, Miserocchi A, McEvoy AW, Winston GP, Duncan JS. The impact of epilepsy surgery on the structural connectome and its relation to outcome. NeuroImage: Clinical 2018, 18, 202-214.
- 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 2017, 140(2), 319-332.
- 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.
- Baier G, Rosch R, Taylor PN, Wang Y. Design principle for a population-based model of epileptic dynamics. In: Complexity and Synergetics. Berlin: Springer International Publishing, 2017, pp.333-347.