Parallelization of the Ising model and its performance evaluation. - D. W. Heermann; Anthony N. Burkitt (Parallel Comput., 1990)

Parallel algorithms in computational science. - Dieter W. Heermann; Anthony N. Burkitt (Springer, 1991)

Optimization of the Architecture of Feed-forward Neural Networks with Hidden Layers by Unit Elimination. - Anthony N. Burkitt (Complex Syst., 1991)

Refined Pruning Techniques for Feed-forward Neural Networks. - Anthony N. Burkitt; Peer Ueberholz (Complex Syst., 1992)

Optimised Attractor Neural Networks with External Inputs. - Anthony N. Burkitt (IWANN, 1993)

Study of analogue neural networks that obey Dale's law using mean-field theory. - Anthony N. Burkitt (ICNN, 1995)

Analysis of neural response for excitation-inhibition balanced networks with reversal potentials for large numbers of inputs. - Anthony N. Burkitt (IJCNN, 1999)

New technique for analyzing integrate and fire neurons. - Anthony N. Burkitt; Graeme M. Clark (Neurocomputing, 1999)

Analysis of Integrate-and-Fire Neurons: Synchronization of Synaptic Input and Spike Output. - Anthony N. Burkitt; Graeme M. Clark (Neural Comput., 1999)

Interspike interval variability for balanced networks with reversal potentials for large numbers of inputs. - Anthony N. Burkitt (Neurocomputing, 2000)

Analysis of synchronization in the response of neurons to noisy periodic synaptic input. - Anthony N. Burkitt; Graeme M. Clark (Neurocomputing, 2000)

Calculation of Interspike Intervals for Integrate-and-Fire Neurons with Poisson Distribution of Synaptic Inputs. - Anthony N. Burkitt; Graeme M. Clark (Neural Comput., 2000)

Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials. - Anthony N. Burkitt (Biol. Cybern., 2001)

Synchronization of the Neural Response to Noisy Periodic Synaptic Input. - Anthony N. Burkitt; Graeme M. Clark (Neural Comput., 2001)

An information-theoretic analysis of the coding of a periodic synaptic input by integrate-and-fire neurons. - Anthony N. Burkitt (Neurocomputing, 2002)

Summation of Spatiotemporal Input Patterns in Leaky Integrate-and-Fire Neurons: Application to Neurons in the Cochlear Nucleus Receiving Converging Auditory Nerve Fiber Input. - Levin Kuhlmann; Anthony N. Burkitt; Antonio Paolini; Graeme M. Clark (J. Comput. Neurosci., 2002)

How synapses in the auditory system wax and wane: theoretical perspectives. - Anthony N. Burkitt; J. Leo van Hemmen (Biol. Cybern., 2003)

Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input. - Anthony N. Burkitt; Hamish Meffin; David B. Grayden (Biol. Cybern., 2003)

Gain modulation and balanced synaptic input in a conductance-based neural model. - Anthony N. Burkitt; Hamish Meffin; David B. Grayden (Neurocomputing, 2003)

An Analytical Model for the 'Large, Fluctuating Synaptic Conductance State' Typical of Neocortical Neurons In Vivo. - Hamish Meffin; Anthony N. Burkitt; David B. Grayden (J. Comput. Neurosci., 2004)

Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point. - Anthony N. Burkitt; Hamish Meffin; David B. Grayden (Neural Comput., 2004)

Dynamically adjustable contrast enhancement from cortical background activity. - Hamish Meffin; Anthony N. Burkitt; David B. Grayden (Neurocomputing, 2005)

A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input. - Anthony N. Burkitt (Biol. Cybern., 2006)

A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties. - Anthony N. Burkitt (Biol. Cybern., 2006)

Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs. - Matthieu Gilson; David B. Grayden; J. Leo van Hemmen; Doreen A. Thomas; Anthony N. Burkitt (ICONIP (1), 2007)

Spike-timing-dependent plasticity for neurons with recurrent connections. - Anthony N. Burkitt; Matthieu Gilson; J. Leo van Hemmen (Biol. Cybern., 2007)

Traveling wave based group delays for cochlear implant speech processing. - Daniel A. Taft; David B. Grayden; Anthony N. Burkitt (INTERSPEECH, 2008)

Observability issues in networked clocks with applications to epilepsy. - Elma O'Sullivan-Greene; Iven M. Y. Mareels; Anthony N. Burkitt; Levin Kuhlmann (CDC, 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2009)

Speech coding with traveling wave delays: Desynchronizing cochlear implant frequency bands with cochlea-like group delays. - Daniel A. Taft; David B. Grayden; Anthony N. Burkitt (Speech Commun., 2009)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence. - Matthieu Gilson; Anthony N. Burkitt; David B. Grayden; Doreen A. Thomas; J. Leo van Hemmen (Biol. Cybern., 2010)

STDP in Recurrent Neuronal Networks. - Matthieu Gilson; Anthony N. Burkitt; J. Leo van Hemmen (Frontiers Comput. Neurosci., 2010)

Spiking Neuron Model for Temporal Sequence Recognition. - Sean Byrnes; Anthony N. Burkitt; David B. Grayden; Hamish Meffin (Neural Comput., 2010)

Across-Frequency Delays Based on the Cochlear Traveling Wave: Enhanced Speech Presentation for Cochlear Implants. - Daniel A. Taft; David B. Grayden; Anthony N. Burkitt (IEEE Trans. Biomed. Eng., 2010)

A channel model for inferring the optimal number of electrodes for future cochlear implants. - Mark D. McDonnell; Anthony N. Burkitt; David B. Grayden; Hamish Meffin; Alex J. Grant (IEEE Trans. Inf. Theory, 2010)

Probing for cortical excitability. - Dean R. Freestone; Anthony N. Burkitt; Alan Lai; Timothy S. Nelson; David B. Grayden; Simon J. Vogrin; Michael Murphy; Wendyl D'Souza; Radwa A. B. Badawy; Levin Kuhlmann; Mark J. Cook (EMBC, 2011)

Simulating electrical stimulation of degenerative retinal ganglion cells with bi-phasic pulse trains. - Tatiana Kameneva; David B. Grayden; Hamish Meffin; Anthony N. Burkitt (EMBC, 2011)

Predicting phosphene elicitation in patients with retinal implants: A mathematical study. - Craig O. Savage; David B. Grayden; Hamish Meffin; Anthony N. Burkitt (EMBC, 2011)

Theoretical framework for estimating the conductivity map of the retina through finite element analysis. - Bahman Tahayori; Hamish Meffin; Nicholas A. Venables; David B. Grayden; Anthony N. Burkitt (EMBC, 2011)

Closed-Loop Seizure Control with Very High Frequency Electrical Stimulation at Seizure Onset in the Gaers Model of Absence Epilepsy. - Timothy S. Nelson; Courtney L. Suhr; Dean R. Freestone; Alan Lai; Amy J. Halliday; Karen J. McLean; Anthony N. Burkitt; Mark J. Cook (Int. J. Neural Syst., 2011)

Modelling intrinsic electrophysiological properties of ON and OFF retinal ganglion cells. - Tatiana Kameneva; Hamish Meffin; Anthony N. Burkitt (J. Comput. Neurosci., 2011)

Learning a Sparse Code for Temporal Sequences Using STDP and Sequence Compression. - Sean Byrnes; Anthony N. Burkitt; David B. Grayden; Hamish Meffin (Neural Comput., 2011)

Feature accentuation in phosphenated images. - Filiz Isabell Kiral-Kornek; Craig O. Savage; David B. Grayden; Anthony N. Burkitt (EMBC, 2012)

Information theoretic inference of the optimal number of electrodes for future cochlear implants using a spiral cochlea model. - Alexey S. Moroz; Mark D. McDonnell; Anthony N. Burkitt; David B. Grayden; Hamish Meffin (EMBC, 2012)

Minimisation of required charge for desired neuronal spike rate. - Craig O. Savage; Tatiana Kameneva; David B. Grayden; Hamish Meffin; Anthony N. Burkitt (EMBC, 2012)

Determining the electrical impedance of the retina from a complex voltage map. - Nicholas A. Venables; Bahman Tahayori; Hamish Meffin; David B. Grayden; Anthony N. Burkitt (EMBC, 2012)

An investigation of dendritic delay in octopus cells of the mammalian cochlear nucleus. - Martin J. Spencer; David B. Grayden; Ian C. Bruce; Hamish Meffin; Anthony N. Burkitt (Frontiers Comput. Neurosci., 2012)

Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. - Matthieu Gilson; Moritz Bürck; Anthony N. Burkitt; J. Leo van Hemmen (Neural Comput., 2012)

Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity. - Matthieu Gilson; Tomoki Fukai; Anthony N. Burkitt (PLoS Comput. Biol., 2012)

Heating of the Eye by a Retinal Prosthesis: Modeling, Cadaver and In Vivo Study. - Nicholas L. Opie; Anthony N. Burkitt; Hamish Meffin; David B. Grayden (IEEE Trans. Biomed. Eng., 2012)

Modeling intrinsic electrophysiology of AII amacrine cells: Preliminary results. - Nicholas V. Apollo; David B. Grayden; Anthony N. Burkitt; Hamish Meffin; Tatiana Kameneva (EMBC, 2013)

Embracing the irregular: A patient-specific image processing strategy for visual prostheses. - Filiz Isabell Kiral-Kornek; Craig O. Savage; Elma O'Sullivan-Greene; Anthony N. Burkitt; David B. Grayden (EMBC, 2013)

Multicompartment retinal ganglion cells response to high frequency bi-phasic pulse train stimulation: Simulation results. - Matias I. Maturana; David B. Grayden; Anthony N. Burkitt; Hamish Meffin; Tatiana Kameneva (EMBC, 2013)

Retinal ganglion cells electrophysiology: The effect of cell morphology on impulse waveform. - Matias I. Maturana; Raymond C. S. Wong; Shaun L. Cloherty; Michael R. Ibbotson; Alex E. Hadjinicolaou; David B. Grayden; Anthony N. Burkitt; Hamish Meffin; Brendan J. O'Brien; Tatiana Kameneva (EMBC, 2013)

Internal inconsistencies in models of electrical stimulation in neural tissue. - Hamish Meffin; Bahman Tahayori; David B. Grayden; Anthony N. Burkitt (EMBC, 2013)

Delay Selection by Spike-Timing-Dependent Plasticity in Recurrent Networks of Spiking Neurons Receiving Oscillatory Inputs. - Robert R. Kerr; Anthony N. Burkitt; Doreen A. Thomas; Matthieu Gilson; David B. Grayden (PLoS Comput. Biol., 2013)

Feedback stimulation strategy: Control of retinal ganglion cells activation. - Tatiana Kameneva; David B. Grayden; Hamish Meffin; Anthony N. Burkitt (EMBC, 2014)

Observability limits for networked oscillators. - Elma O'Sullivan-Greene; Iven Mareels; Levin Kuhlmann; Anthony N. Burkitt (Autom., 2014)

A comparison of open-loop and closed-loop stimulation strategies to control excitation of retinal ganglion cells. - Tatiana Kameneva; Daniele Zarelli; Dragan Nesic; David B. Grayden; Anthony N. Burkitt; Hamish Meffin (Biomed. Signal Process. Control., 2014)

The effect of morphology upon electrophysiological responses of retinal ganglion cells: simulation results. - Matias I. Maturana; Tatiana Kameneva; Anthony N. Burkitt; Hamish Meffin; David B. Grayden (J. Comput. Neurosci., 2014)

Interplay of Intrinsic and Synaptic Conductances in the Generation of High-Frequency Oscillations in Interneuronal Networks with Irregular Spiking. - Fabiano Baroni; Anthony N. Burkitt; David B. Grayden (PLoS Comput. Biol., 2014)

Spike history neural response model. - Tatiana Kameneva; Miganoosh Abramian; Daniele Zarelli; Dragan Nesic; Anthony N. Burkitt; Hamish Meffin; David B. Grayden (J. Comput. Neurosci., 2015)

A computational model of orientation-dependent activation of retinal ganglion cells. - Timothy Esler; Anthony N. Burkitt; David B. Grayden; Robert R. Kerr; Bahman Tahayori; Hamish Meffin (EMBC, 2016)

Feasibility of a chronic, minimally invasive endovascular neural interface. - Nicholas L. Opie; Gil S. Rind; Sam E. John; Stephen M. Ronayne; David B. Grayden; Anthony N. Burkitt; Clive N. May; Terence J. O'Brien; Thomas J. Oxley (EMBC, 2016)

Learning Pitch with STDP: A Computational Model of Place and Temporal Pitch Perception Using Spiking Neural Networks. - Nafise Erfanian Saeedi; Peter J. Blamey; Anthony N. Burkitt; David B. Grayden (PLoS Comput. Biol., 2016)

Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators. - Elma O'Sullivan-Greene; Levin Kuhlmann; Ewan Nurse; Dean R. Freestone; David B. Grayden; Mark J. Cook; Anthony N. Burkitt; Iven Mareels (Int. J. Neural Syst., 2017)

A Minimally Invasive Endovascular Stent-Electrode Array for Chronic Recordings of Cortical Neural Activity. - Thomas J. Oxley; Nicholas L. Opie; Sam E. John; Gil S. Rind; Stephen M. Ronayne; Anthony N. Burkitt; David B. Grayden; Clive N. May; Terence J. O'Brien (Brain-Computer Interface Research (6), 2017)

Bistability in Hodgkin-Huxley-type equations. - Tatiana Kameneva; Hamish Meffin; Anthony N. Burkitt; David B. Grayden (EMBC, 2018)

Compensation for Traveling Wave Delay Through Selection of Dendritic Delays Using Spike-Timing-Dependent Plasticity in a Model of the Auditory Brainstem. - Martin J. Spencer; Hamish Meffin; Anthony N. Burkitt; David B. Grayden (Frontiers Comput. Neurosci., 2018)

Predictive coding of visual object position ahead of moving objects revealed by time-resolved EEG decoding. - Hinze Hogendoorn; Anthony N. Burkitt (NeuroImage, 2018)

A biologically-based computational model of visual cortex that overcomes the X-junction illusion. - Parvin Zarei Eskikand; Tatiana Kameneva; Michael R. Ibbotson; Anthony N. Burkitt; David B. Grayden (Neural Networks, 2018)

Electrical receptive fields of retinal ganglion cells: Influence of presynaptic neurons. - Matias I. Maturana; Nicholas V. Apollo; David J. Garrett; Tatiana Kameneva; Shaun L. Cloherty; David B. Grayden; Anthony N. Burkitt; Michael R. Ibbotson; Hamish Meffin (PLoS Comput. Biol., 2018)

Computational Neural Modeling of Auditory Cortical Receptive Fields. - Jordan D. Chambers; Diego Elgueda; Jonathan B. Fritz; Shihab A. Shamma; Anthony N. Burkitt; David B. Grayden (Frontiers Comput. Neurosci., 2019)

A Convolutional Neural Network Model for Decoding EEG signals in a Hand-Squeeze Task1. - Andi Partovi; Farhad Goodarzy; Ewan S. Nurse; Philippa J. Karoly; Dean Freeston; Mark J. Cook; Anthony N. Burkitt; David B. Grayden (BCI, 2020)

Universal neurophysiological interpretation of EEG brain-computer interfaces. - James D. Bennett; Sam E. John; David B. Grayden; Anthony N. Burkitt (BCI, 2021)

On the benefit of overparameterization in state reconstruction. - Jonas F. Haderlein; Iven M. Y. Mareels; Andre D. H. Peterson; Parvin Zarei Eskikand; Anthony N. Burkitt; David B. Grayden (CDC, 2021)

Impact of axonal delay on structure development in a multi-layered network. - Catherine E. Davey; David B. Grayden; Anthony N. Burkitt (Neural Networks, 2021)

Learning receptive field properties of complex cells in V1. - Yanbo Lian; Ali Almasi; David B. Grayden; Tatiana Kameneva; Anthony N. Burkitt; Hamish Meffin (PLoS Comput. Biol., 2021)

Emergence of radial orientation selectivity: Effect of cell density changes and eccentricity in a layered network. - Catherine E. Davey; David B. Grayden; Anthony N. Burkitt (Frontiers Comput. Neurosci., 2022)

Autoregressive models for biomedical signal processing. - Jonas F. Haderlein; Andre D. H. Peterson; Anthony N. Burkitt; Iven M. Y. Mareels; David B. Grayden (EMBC, 2023)

Effect of alpha range activity on SSVEP decoding in brain-computer interfaces. - Syeda R. Zehra; Jing Mu 001; Anthony N. Burkitt; David B. Grayden (EMBC, 2023)

A Self-Supervised Task-Agnostic Embedding for EEG Signals. - Andi Partovi; Anthony N. Burkitt; David B. Grayden (NER, 2023)

Evaluation of Optimal Stimuli for SSVEP-Based Augmented Reality Brain-Computer Interfaces. - Syeda R. Zehra; Jing Mu 001; Brandon Victor Syiem; Anthony N. Burkitt; David B. Grayden (IEEE Access, 2023)

Combining the neural mass model and Hodgkin-Huxley formalism: Neuronal dynamics modelling. - Tianlin Ying; Anthony N. Burkitt; Tatiana Kameneva (Biomed. Signal Process. Control., 2023)

Path Signatures for Seizure Forecasting. - Jonas F. Haderlein; Andre D. H. Peterson; Parvin Zarei Eskikand; Mark J. Cook; Anthony N. Burkitt; Iven M. Y. Mareels; David B. Grayden (CoRR, 2023)

Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons. - Charlie M. Sexton; Anthony N. Burkitt; Hinze Hogendoorn (PLoS Comput. Biol., 2023)

Inhibitory stabilized network behaviour in a balanced neural mass model of a cortical column. - Parvin Zarei Eskikand; Artemio Soto-Breceda; Mark J. Cook; Anthony N. Burkitt; David B. Grayden (Neural Networks, 2023)

On the benefit of overparameterisation in state reconstruction: An empirical study of the nonlinear case. - Jonas F. Haderlein; Andre D. H. Peterson; Parvin Zarei Eskikand; Anthony N. Burkitt; Iven M. Y. Mareels; David B. Grayden (ANZCC, 2024)

Revisiting Seizure Prediction with Path Signatures: the Limitations of System Identification. - Jonas F. Haderlein; Andre D. H. Peterson; Parvin Zarei Eskikand; Mark J. Cook; Anthony N. Burkitt; David B. Grayden; Iven M. Y. Mareels (ANZCC, 2024)

Comparing cardiac artifact removal algorithms for endovascular brain-computer interface recordings. - Suleman Rasheed; James D. Bennett; Peter E. Yoo; Nicholas L. Opie; Anthony N. Burkitt; David B. Grayden (BCI, 2024)

Reduced Synaptic Heterogeneity in a Tetanus Toxin Model of Epilepsy: Insights from Computational Modeling. - Parvin Zarei Eskikand; Mark J. Cook; Anthony N. Burkitt; David B. Grayden (EMBC, 2024)

Neural dynamics and seizure correlations: Insights from neural mass models in a Tetanus Toxin rat model of epilepsy. - Parvin Zarei Eskikand; Artemio Soto-Breceda; Mark J. Cook; Anthony N. Burkitt; David B. Grayden (Neural Networks, 2024)