John R. Terry spends much of his time researching Neuroscience, Electroencephalography, Chaotic, Endocrinology and Circadian rhythm. His Neuroscience research integrates issues from Attractor and Complex dynamics. His Electroencephalography study combines topics from a wide range of disciplines, such as Nonlinear system, Brain region, Abnormality and Epilepsy.
In his research, Laser, Multistability and Statistical physics is intimately related to Bifurcation, which falls under the overarching field of Chaotic. His study on Endocrinology is mostly dedicated to connecting different topics, such as Internal medicine. His Circadian rhythm research includes elements of Nocturnal and Glucocorticoid.
His primary areas of study are Neuroscience, Epilepsy, Electroencephalography, Internal medicine and Endocrinology. The various areas that John R. Terry examines in his Neuroscience study include Network dynamics and Corticosterone. His studies in Epilepsy integrate themes in fields like Brain activity and meditation, Functional networks and Brain region.
His biological study spans a wide range of topics, including Bifurcation analysis and Focal Epilepsies. His work carried out in the field of Electroencephalography brings together such families of science as Audiology and Artificial intelligence. His study looks at the relationship between Spike-and-wave and topics such as Time domain, which overlap with Algorithm.
John R. Terry mostly deals with Neuroscience, Epilepsy, Electroencephalography, Functional networks and Epilepsy surgery. His research links Network dynamics with Neuroscience. In the field of Epilepsy, his study on Juvenile myoclonic epilepsy overlaps with subjects such as Dynamic network analysis.
John R. Terry studies Electroencephalography, focusing on Generalized epilepsy in particular. The concepts of his Functional networks study are interwoven with issues in Ictal and Brain network. His Epilepsy surgery research incorporates themes from Statistical physics, Audiology and Brain tissue.
His primary areas of investigation include Epilepsy, Neuroscience, Functional networks, Network dynamics and Audiology. His research integrates issues of Functional connectivity, Computational model and Electroencephalography in his study of Epilepsy. In the subject of general Neuroscience, his work in Brain network, Seizure onset and Ictal is often linked to Dynamic network analysis and Functional brain, thereby combining diverse domains of study.
Functional networks is often connected to Generalised seizure in his work. John R. Terry has included themes like Seizure activity, Time course and Brain pathologies in his Network dynamics study. The study incorporates disciplines such as Intracranial Electroencephalography and Epilepsy surgery in addition to Audiology.
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A unifying explanation of primary generalized seizures through nonlinear brain modeling and bifurcation analysis
Michael Breakspear;J.A. Roberts;John R. Terry;Serafim Rodrigues.
Cerebral Cortex (2006)
Origin of ultradian pulsatility in the hypothalamic–pituitary–adrenal axis
Jamie J. Walker;John R. Terry;Stafford L. Lightman.
Proceedings of The Royal Society B: Biological Sciences (2010)
Conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network
Alejo J Nevado Holgado;John R Terry;Rafal Bogacz.
The Journal of Neuroscience (2010)
HPA Axis‐Rhythms
Francesca Spiga;Jamie J Walker;Jamie J Walker;John R Terry;Stafford L Lightman.
Comprehensive Physiology (2014)
Synchronization of chaos in an array of three lasers
John R. Terry;K. Scott Thornburg;David J. DeShazer;Gregory D. VanWiggeren.
Physical Review E (1999)
The Origin of Glucocorticoid Hormone Oscillations
Jamie J. Walker;Francesca Spiga;Eleanor Waite;Zidong Zhao.
PLOS Biology (2012)
Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a biophysical model of neuronal dynamics
Michael Breakspear;John R Terry;Karl J Friston.
Network: Computation In Neural Systems (2003)
Detection and description of non-linear interdependence in normal multichannel human EEG data
M. Breakspear;M. Breakspear;J.R. Terry.
Clinical Neurophysiology (2002)
Seizure generation: the role of nodes and networks.
John R. Terry;Oscar Benjamin;Mark P. Richardson.
Epilepsia (2012)
Estimation of brain network ictogenicity predicts outcome from epilepsy surgery
M. Goodfellow;Christian Rummel;Eugenio Abela;M. P. Richardson;M. P. Richardson.
Scientific Reports (2016)
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