David T. J. Liley

发表

Neural field modelling of the electroencephalogram: physiological insights and practical applications

David T. J. Liley, D. Liley, 2014 .

Axonal Velocity Distributions in Neural Field Equations

Ingo Bojak, David T. J. Liley, D. Liley, 2010, PLoS Comput. Biol..

Dynamical complexity in a mean-field model of human EEG

Ingo Bojak, David T. J. Liley, Federico Frascoli, 2008, Micro + Nano Materials, Devices, and Applications.

Dissociating the effects of nitrous oxide on brain electrical activity using fixed order time series modeling

David T. J. Liley, Kate Leslie, Nicholas C. Sinclair, 2008, Comput. Biol. Medicine.

Alpha rhythm emerges from large-scale networks of realistically coupled multicompartmental model cortical neurons

David T. J. Liley, James J. Wright, James J. Wright, 1999 .

A continuum theory of electro-cortical activity

David T. J. Liley, Peter J. Cadusch, James J. Wright, 1999, Neurocomputing.

Approaches to modelling the dynamical activity of brain function based on the electroencephalogram

David T. J. Liley, Federico Frascoli, 2010 .

Self-organized 40Hz synchronization in a physiological theory of EEG

Ingo Bojak, David T. J. Liley, 2007, Neurocomputing.

1/f electrophysiological spectra in resting and drug-induced states can be explained by the dynamics of multiple oscillatory relaxation processes

David T. J. Liley, Suresh D. Muthukumaraswamy, D. Liley, 2018, NeuroImage.

Co-operative Populations of Neurons: Mean Field Models of Mesoscopic Brain Activity

Ingo Bojak, David T. J. Liley, Brett L. Foster, 2012 .

Mesoscopic Anatomy and Neural Population Models

David T. J. Liley, 2014, Encyclopedia of Computational Neuroscience.

Visualising chaos in a model of brain electrical activity

David T. J. Liley, Paul D. Bourke, Peter J. Cadusch, 2002, Comput. Graph..

Population based models of cortical drug response: insights from anaesthesia

Ingo Bojak, David T. J. Liley, Brett L. Foster, 2008, Cognitive Neurodynamics.

Ketamine, Propofol, and the EEG: A Neural Field Analysis of HCN1-Mediated Interactions

Ingo Bojak, David T. J. Liley, Harry C. Day, 2013, Front. Comput. Neurosci..

The Mesoscopic Modeling of Burst Suppression during Anesthesia

Matthew Walsh, David T. J. Liley, M. Walsh, 2013, Front. Comput. Neurosci..

Guest Editorial Special Issue on Neural Systems Engineering and Mathematical Modeling of Brain Dynamics Using ECoG/EEG/MEG Oscillations and Machine Learning Methods

Daniel P. Ferris, David T. J. Liley, Siamak Mehrkanoon, 2019 .

Neural Population Model

David T. J. Liley, D. Liley, 2014, Encyclopedia of Computational Neuroscience.

Evidence that alpha blocking is due to increases in system-level oscillatory damping not neuronal population desynchronisation

David T. J. Liley, Suresh D. Muthukumaraswamy, 2019, NeuroImage.

Limitations in the Rapid Extraction of Evoked Potentials Using Parametric Modeling

David T. J. Liley, Nicholas C. Sinclair, A. C. De Silva, 2012, IEEE Transactions on Biomedical Engineering.

Chaos and graphics Visualising chaos in a model of brain electrical activity

David T. J. Liley, Paul D. Bourke, Peter J. Cadusch, 2002 .

Inferring a simple mechanism for alpha-blocking by fitting a neural population model to EEG spectra

David T. J. Liley, Peter J. Cadusch, Agus Hartoyo, 2020, bioRxiv.

Fast Oscillations in Cortical Circuits, by Roger D. Traub, John G. R. Jefferys and Miles A. Whittington

David T. J. Liley, 2000, Int. J. Neural Syst..

Simulation of electrocortical waves

David T. J. Liley, James J. Wright, D. Liley, 1995, Biological Cybernetics.

A coherence analysis of EEG response to speech modulated by m-sequence

Sachiko Koyama, David T. J. Liley, Brett L. Foster, 2008 .

Parameter estimation and identifiability in a neural population model for electro-cortical activity

David T. J. Liley, Damien G. Hicks, Peter J. Cadusch, 2018, bioRxiv.

Down Under Neural Population Models

David T. J. Liley, 2014, Encyclopedia of Computational Neuroscience.

Understanding the effects of anesthetic agents on the EEG through neural field theory

Ingo Bojak, David T. J. Liley, Brett L. Foster, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Models of electrocortical dynamics.

David T. J. Liley, 1995 .

Electrorhythmogenesis and anaesthesia in a physiological mean field theory

Ingo Bojak, David T. J. Liley, Peter J. Cadusch, 2004, Neurocomputing.

Extensive Four-Dimensional Chaos in a Mesoscopic Model of the Electroencephalogram

David T. J. Liley, Peter J. Cadusch, Federico Frascoli, 2015, Journal of mathematical neuroscience.

Tracking Electroencephalographic Changes Using Distributions of Linear Models: Application to Propofol-Based Depth of Anesthesia Monitoring

Tarmo Lipping, Jonathan H. Manton, Levin Kuhlmann, 2017, IEEE Transactions on Biomedical Engineering.

Evaluation of the brain anaesthesia response monitor during anaesthesia for cardiac surgery: a double-blind, randomised controlled trial using two doses of fentanyl

David T. J. Liley, Desmond P. McGlade, Mehrnaz Shoushtarian, 2016, Journal of Clinical Monitoring and Computing.

Chaos and generalised multistability in a mesoscopic model of the electroencephalogram

David T. J. Liley, Peter J. Cadusch, Federico Frascoli, 2009 .

A millimetric-scale simulation of electrocortical wave dynamics based on anatomical estimates of cortical synaptic density

David T. J. Liley, James J. Wright, D. Liley, 1994 .

Re-evaluating the performance of the nonlinear prediction error for the detection of deterministic dynamics

David T. J. Liley, Peter J. Cadusch, Mathew P. Dafilis, 2011 .

Modulation of Functional EEG Networks by the NMDA Antagonist Nitrous Oxide

Levin Kuhlmann, David T. J. Liley, Brett L. Foster, 2013, PloS one.

Comparisons of Electroencephalographically Derived Measures of Hypnosis and Antinociception in Response to Standardized Stimuli During Target-Controlled Propofol-Remifentanil Anesthesia

Michel Struys, Hugo Vereecke, David T. J. Liley, 2016, Anesthesia and analgesia.

Emergence of spatially heterogeneous burst suppression in a neural field model of electrocortical activity

Ingo Bojak, David T. J. Liley, D. Liley, 2015, Front. Syst. Neurosci..