Anthony N. Burkitt

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 29

Top Topics

Receptive Fields

Retinal Ganglion

Biomedical Signal Processing

Neuronal Networks

Top Venues

PLoS Comput. Biol.

Frontiers Comput. Neurosci.

Publications

Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden
On the benefit of overparameterisation in state reconstruction: An empirical study of the nonlinear case. ANZCC (2024)
Suleman Rasheed, James D. Bennett, Peter E. Yoo, Nicholas L. Opie, Anthony N. Burkitt, David B. Grayden
Comparing cardiac artifact removal algorithms for endovascular brain-computer interface recordings. BCI (2024)
Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, David B. Grayden, Iven M. Y. Mareels
Revisiting Seizure Prediction with Path Signatures: the Limitations of System Identification. ANZCC (2024)
Parvin Zarei Eskikand, Artemio Soto-Breceda, Mark J. Cook, Anthony N. Burkitt, David B. Grayden
Inhibitory stabilized network behaviour in a balanced neural mass model of a cortical column. Neural Networks 166 (2023)
Jonas F. Haderlein, Andre D. H. Peterson, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden
Autoregressive models for biomedical signal processing. CoRR (2023)
Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden
Path Signatures for Seizure Forecasting. CoRR (2023)
Syeda R. Zehra, Jing Mu, Anthony N. Burkitt, David B. Grayden
Effect of alpha range activity on SSVEP decoding in brain-computer interfaces. EMBC (2023)
Tianlin Ying, Anthony N. Burkitt, Tatiana Kameneva
Combining the neural mass model and Hodgkin-Huxley formalism: Neuronal dynamics modelling. Biomed. Signal Process. Control. 79 (Part) (2023)
Syeda R. Zehra, Jing Mu, Brandon Victor Syiem, Anthony N. Burkitt, David B. Grayden
Evaluation of Optimal Stimuli for SSVEP-Based Augmented Reality Brain-Computer Interfaces. IEEE Access 11 (2023)
Jonas F. Haderlein, Andre D. H. Peterson, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden
Autoregressive models for biomedical signal processing. EMBC (2023)
Andi Partovi, Anthony N. Burkitt, David B. Grayden
A Self-Supervised Task-Agnostic Embedding for EEG Signals. NER (2023)
Charlie M. Sexton, Anthony N. Burkitt, Hinze Hogendoorn
Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons. PLoS Comput. Biol. 19 (9) (2023)
Catherine E. Davey, David B. Grayden, Anthony N. Burkitt
Emergence of radial orientation selectivity: Effect of cell density changes and eccentricity in a layered network. Frontiers Comput. Neurosci. 16 (2022)
Jonas F. Haderlein, Iven M. Y. Mareels, Andre D. H. Peterson, Parvin Zarei Eskikand, Anthony N. Burkitt, David B. Grayden
On the benefit of overparameterization in state reconstruction. CDC (2021)
James D. Bennett, Sam E. John, David B. Grayden, Anthony N. Burkitt
Universal neurophysiological interpretation of EEG brain-computer interfaces. BCI (2021)
Yanbo Lian, Ali Almasi, David B. Grayden, Tatiana Kameneva, Anthony N. Burkitt, Hamish Meffin
Learning receptive field properties of complex cells in V1. PLoS Comput. Biol. 17 (3) (2021)
Catherine E. Davey, David B. Grayden, Anthony N. Burkitt
Impact of axonal delay on structure development in a multi-layered network. Neural Networks 144 (2021)
Andi Partovi, Farhad Goodarzy, Ewan S. Nurse, Philippa J. Karoly, Dean Freeston, Mark J. Cook, Anthony N. Burkitt, David B. Grayden
. BCI (2020)
Jordan D. Chambers, Diego Elgueda, Jonathan B. Fritz, Shihab A. Shamma, Anthony N. Burkitt, David B. Grayden
Computational Neural Modeling of Auditory Cortical Receptive Fields. Frontiers Comput. Neurosci. 13 (2019)
Hinze Hogendoorn, Anthony N. Burkitt
Predictive coding of visual object position ahead of moving objects revealed by time-resolved EEG decoding. NeuroImage 171 (2018)
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
Electrical receptive fields of retinal ganglion cells: Influence of presynaptic neurons. PLoS Comput. Biol. 14 (2) (2018)
Martin J. Spencer, Hamish Meffin, Anthony N. Burkitt, David B. Grayden
Compensation for Traveling Wave Delay Through Selection of Dendritic Delays Using Spike-Timing-Dependent Plasticity in a Model of the Auditory Brainstem. Frontiers Comput. Neurosci. 12 (2018)
Parvin Zarei Eskikand, Tatiana Kameneva, Michael R. Ibbotson, Anthony N. Burkitt, David B. Grayden
A biologically-based computational model of visual cortex that overcomes the X-junction illusion. Neural Networks 102 (2018)
Tatiana Kameneva, Hamish Meffin, Anthony N. Burkitt, David B. Grayden
Bistability in Hodgkin-Huxley-type equations. EMBC (2018)
Elma O'Sullivan-Greene, Levin Kuhlmann, Ewan Nurse, Dean R. Freestone, David B. Grayden, Mark J. Cook, Anthony N. Burkitt, Iven Mareels
Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators. Int. J. Neural Syst. 27 (1) (2017)
Timothy Esler, Anthony N. Burkitt, David B. Grayden, Robert R. Kerr, Bahman Tahayori, Hamish Meffin
A computational model of orientation-dependent activation of retinal ganglion cells. EMBC (2016)
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
Feasibility of a chronic, minimally invasive endovascular neural interface. EMBC (2016)
Nafise Erfanian Saeedi, Peter J. Blamey, Anthony N. Burkitt, David B. Grayden
Learning Pitch with STDP: A Computational Model of Place and Temporal Pitch Perception Using Spiking Neural Networks. PLoS Comput. Biol. 12 (4) (2016)
Tatiana Kameneva, Miganoosh Abramian, Daniele Zarelli, Dragan Nesic, Anthony N. Burkitt, Hamish Meffin, David B. Grayden
Spike history neural response model. J. Comput. Neurosci. 38 (3) (2015)
Tatiana Kameneva, David B. Grayden, Hamish Meffin, Anthony N. Burkitt
Feedback stimulation strategy: Control of retinal ganglion cells activation. EMBC (2014)
Fabiano Baroni, Anthony N. Burkitt, David B. Grayden
Interplay of Intrinsic and Synaptic Conductances in the Generation of High-Frequency Oscillations in Interneuronal Networks with Irregular Spiking. PLoS Comput. Biol. 10 (5) (2014)
Tatiana Kameneva, Daniele Zarelli, Dragan Nesic, David B. Grayden, Anthony N. Burkitt, Hamish Meffin
A comparison of open-loop and closed-loop stimulation strategies to control excitation of retinal ganglion cells. Biomed. Signal Process. Control. 14 (2014)
Matias I. Maturana, Tatiana Kameneva, Anthony N. Burkitt, Hamish Meffin, David B. Grayden
The effect of morphology upon electrophysiological responses of retinal ganglion cells: simulation results. J. Comput. Neurosci. 36 (2) (2014)
Elma O'Sullivan-Greene, Iven Mareels, Levin Kuhlmann, Anthony N. Burkitt
Observability limits for networked oscillators. Autom. 50 (4) (2014)
Matias I. Maturana, David B. Grayden, Anthony N. Burkitt, Hamish Meffin, Tatiana Kameneva
Multicompartment retinal ganglion cells response to high frequency bi-phasic pulse train stimulation: Simulation results. EMBC (2013)
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
Retinal ganglion cells electrophysiology: The effect of cell morphology on impulse waveform. EMBC (2013)
Robert R. Kerr, Anthony N. Burkitt, Doreen A. Thomas, Matthieu Gilson, David B. Grayden
Delay Selection by Spike-Timing-Dependent Plasticity in Recurrent Networks of Spiking Neurons Receiving Oscillatory Inputs. PLoS Comput. Biol. 9 (2) (2013)
Nicholas V. Apollo, David B. Grayden, Anthony N. Burkitt, Hamish Meffin, Tatiana Kameneva
Modeling intrinsic electrophysiology of AII amacrine cells: Preliminary results. EMBC (2013)
Filiz Isabell Kiral-Kornek, Craig O. Savage, Elma O'Sullivan-Greene, Anthony N. Burkitt, David B. Grayden
Embracing the irregular: A patient-specific image processing strategy for visual prostheses. EMBC (2013)
Hamish Meffin, Bahman Tahayori, David B. Grayden, Anthony N. Burkitt
Internal inconsistencies in models of electrical stimulation in neural tissue. EMBC (2013)
Matthieu Gilson, Tomoki Fukai, Anthony N. Burkitt
Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity. PLoS Comput. Biol. 8 (7) (2012)
Nicholas L. Opie, Anthony N. Burkitt, Hamish Meffin, David B. Grayden
Heating of the Eye by a Retinal Prosthesis: Modeling, Cadaver and In Vivo Study. IEEE Trans. Biomed. Eng. 59 (2) (2012)
Nicholas A. Venables, Bahman Tahayori, Hamish Meffin, David B. Grayden, Anthony N. Burkitt
Determining the electrical impedance of the retina from a complex voltage map. EMBC (2012)
Matthieu Gilson, Moritz Bürck, Anthony N. Burkitt, J. Leo van Hemmen
Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. Neural Comput. 24 (9) (2012)
Alexey S. Moroz, Mark D. McDonnell, Anthony N. Burkitt, David B. Grayden, Hamish Meffin
Information theoretic inference of the optimal number of electrodes for future cochlear implants using a spiral cochlea model. EMBC (2012)
Filiz Isabell Kiral-Kornek, Craig O. Savage, David B. Grayden, Anthony N. Burkitt
Feature accentuation in phosphenated images. EMBC (2012)
Martin J. Spencer, David B. Grayden, Ian C. Bruce, Hamish Meffin, Anthony N. Burkitt
An investigation of dendritic delay in octopus cells of the mammalian cochlear nucleus. Frontiers Comput. Neurosci. 6 (2012)
Craig O. Savage, Tatiana Kameneva, David B. Grayden, Hamish Meffin, Anthony N. Burkitt
Minimisation of required charge for desired neuronal spike rate. EMBC (2012)
Craig O. Savage, David B. Grayden, Hamish Meffin, Anthony N. Burkitt
Predicting phosphene elicitation in patients with retinal implants: A mathematical study. EMBC (2011)
Tatiana Kameneva, Hamish Meffin, Anthony N. Burkitt
Modelling intrinsic electrophysiological properties of ON and OFF retinal ganglion cells. J. Comput. Neurosci. 31 (3) (2011)
Timothy S. Nelson, Courtney L. Suhr, Dean R. Freestone, Alan Lai, Amy J. Halliday, Karen J. McLean, Anthony N. Burkitt, Mark J. Cook
Closed-Loop Seizure Control with Very High Frequency Electrical Stimulation at Seizure Onset in the Gaers Model of Absence Epilepsy. Int. J. Neural Syst. 21 (2) (2011)
Tatiana Kameneva, David B. Grayden, Hamish Meffin, Anthony N. Burkitt
Simulating electrical stimulation of degenerative retinal ganglion cells with bi-phasic pulse trains. EMBC (2011)
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
Probing for cortical excitability. EMBC (2011)
Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin
Learning a Sparse Code for Temporal Sequences Using STDP and Sequence Compression. Neural Comput. 23 (10) (2011)
Bahman Tahayori, Hamish Meffin, Nicholas A. Venables, David B. Grayden, Anthony N. Burkitt
Theoretical framework for estimating the conductivity map of the retina through finite element analysis. EMBC (2011)
Matthieu Gilson, Anthony N. Burkitt, J. Leo van Hemmen
STDP in Recurrent Neuronal Networks. Frontiers Comput. Neurosci. 4 (2010)
Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin
Spiking Neuron Model for Temporal Sequence Recognition. Neural Comput. 22 (1) (2010)
Mark D. McDonnell, Anthony N. Burkitt, David B. Grayden, Hamish Meffin, Alex J. Grant
A channel model for inferring the optimal number of electrodes for future cochlear implants. IEEE Trans. Inf. Theory 56 (2) (2010)
Daniel A. Taft, David B. Grayden, Anthony N. Burkitt
Across-Frequency Delays Based on the Cochlear Traveling Wave: Enhanced Speech Presentation for Cochlear Implants. IEEE Trans. Biomed. Eng. 57 (3) (2010)
Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence. Biol. Cybern. 103 (5) (2010)
Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways. Biol. Cybern. 101 (2) (2009)
Daniel A. Taft, David B. Grayden, Anthony N. Burkitt
Speech coding with traveling wave delays: Desynchronizing cochlear implant frequency bands with cochlea-like group delays. Speech Commun. 51 (11) (2009)
Elma O'Sullivan-Greene, Iven M. Y. Mareels, Anthony N. Burkitt, Levin Kuhlmann
Observability issues in networked clocks with applications to epilepsy. CDC (2009)
Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV. Biol. Cybern. 101 (5-6) (2009)
Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking. Biol. Cybern. 101 (2) (2009)
Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity. Biol. Cybern. 101 (5-6) (2009)
Daniel A. Taft, David B. Grayden, Anthony N. Burkitt
Traveling wave based group delays for cochlear implant speech processing. INTERSPEECH (2008)
Anthony N. Burkitt, Matthieu Gilson, J. Leo van Hemmen
Spike-timing-dependent plasticity for neurons with recurrent connections. Biol. Cybern. 96 (5) (2007)
Matthieu Gilson, David B. Grayden, J. Leo van Hemmen, Doreen A. Thomas, Anthony N. Burkitt
Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs. ICONIP (1) (2007)
Anthony N. Burkitt
A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties. Biol. Cybern. 95 (2) (2006)
Anthony N. Burkitt
A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input. Biol. Cybern. 95 (1) (2006)
Hamish Meffin, Anthony N. Burkitt, David B. Grayden
Dynamically adjustable contrast enhancement from cortical background activity. Neurocomputing (2005)
Hamish Meffin, Anthony N. Burkitt, David B. Grayden
. J. Comput. Neurosci. 16 (2) (2004)
Anthony N. Burkitt, Hamish Meffin, David B. Grayden
Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point. Neural Comput. 16 (5) (2004)
Anthony N. Burkitt, Hamish Meffin, David B. Grayden
Gain modulation and balanced synaptic input in a conductance-based neural model. Neurocomputing (2003)
Anthony N. Burkitt, J. Leo van Hemmen
How synapses in the auditory system wax and wane: theoretical perspectives. Biol. Cybern. 89 (5) (2003)
Anthony N. Burkitt, Hamish Meffin, David B. Grayden
Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input. Biol. Cybern. 89 (2) (2003)
Anthony N. Burkitt
An information-theoretic analysis of the coding of a periodic synaptic input by integrate-and-fire neurons. Neurocomputing (2002)
Levin Kuhlmann, Anthony N. Burkitt, Antonio Paolini, Graeme M. Clark
Summation of Spatiotemporal Input Patterns in Leaky Integrate-and-Fire Neurons: Application to Neurons in the Cochlear Nucleus Receiving Converging Auditory Nerve Fiber Input. J. Comput. Neurosci. 12 (1) (2002)
Anthony N. Burkitt
Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials. Biol. Cybern. 85 (4) (2001)
Anthony N. Burkitt, Graeme M. Clark
Synchronization of the Neural Response to Noisy Periodic Synaptic Input. Neural Comput. 13 (12) (2001)
Anthony N. Burkitt
Interspike interval variability for balanced networks with reversal potentials for large numbers of inputs. Neurocomputing (2000)
Anthony N. Burkitt, Graeme M. Clark
Calculation of Interspike Intervals for Integrate-and-Fire Neurons with Poisson Distribution of Synaptic Inputs. Neural Comput. 12 (8) (2000)
Anthony N. Burkitt, Graeme M. Clark
Analysis of synchronization in the response of neurons to noisy periodic synaptic input. Neurocomputing (2000)
Anthony N. Burkitt, Graeme M. Clark
New technique for analyzing integrate and fire neurons. Neurocomputing (1999)
Anthony N. Burkitt, Graeme M. Clark
Analysis of Integrate-and-Fire Neurons: Synchronization of Synaptic Input and Spike Output. Neural Comput. 11 (4) (1999)
Anthony N. Burkitt, Graeme M. Clark
Synchronization of the neural response to noisy periodic synaptic input. IJCNN (1999)
Anthony N. Burkitt
Analysis of neural response for excitation-inhibition balanced networks with reversal potentials for large numbers of inputs. IJCNN (1999)
Anthony N. Burkitt
Study of analogue neural networks that obey Dale's law using mean-field theory. ICNN (1995)
Anthony N. Burkitt
Optimised Attractor Neural Networks with External Inputs. IWANN (1993)
Anthony N. Burkitt, Peer Ueberholz
Refined Pruning Techniques for Feed-forward Neural Networks. Complex Syst. 6 (6) (1992)
Anthony N. Burkitt
Optimization of the Architecture of Feed-forward Neural Networks with Hidden Layers by Unit Elimination. Complex Syst. 5 (4) (1991)
D. W. Heermann, Anthony N. Burkitt
Parallelization of the Ising model and its performance evaluation. Parallel Comput. 13 (3) (1990)