Anthony N. Burkitt

100 papers A 1B 2Misc 1Journal 64Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Balancing prior knowledge and sensory data in a predictive coding model of coherent motion detection. PLoS Comput. Biol. Elnaz Nemati, David B. Grayden, Anthony N. Burkitt, Parvin Zarei Eskikand
2025	J	`jnl`	Emergence of sparse coding, balance and decorrelation from a biologically-grounded spiking neural network model of learning in the primary visual cortex. PLoS Comput. Biol. Marko A. Ruslim, Martin J. Spencer, Hinze Hogendoorn, Hamish Meffin, Yanbo Lian, Anthony N. Burkitt
2025	J	`jnl`	Relating sparse and predictive coding to divisive normalization. PLoS Comput. Biol. Yanbo Lian, Anthony N. Burkitt
2024	—	`conf`	Comparing cardiac artifact removal algorithms for endovascular brain-computer interface recordings. BCI Suleman Rasheed, James D. Bennett, Peter E. Yoo, Nicholas L. Opie, Anthony N. Burkitt, David B. Grayden
2024	J	`jnl`	Neural dynamics and seizure correlations: Insights from neural mass models in a Tetanus Toxin rat model of epilepsy. Neural Networks Parvin Zarei Eskikand, Artemio Soto-Breceda, Mark J. Cook, Anthony N. Burkitt, David B. Grayden
2024	—	`conf`	On the benefit of overparameterisation in state reconstruction: An empirical study of the nonlinear case. ANZCC Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden
2024	—	`conf`	Reduced Synaptic Heterogeneity in a Tetanus Toxin Model of Epilepsy: Insights from Computational Modeling. EMBC Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, David B. Grayden
2024	—	`conf`	Revisiting Seizure Prediction with Path Signatures: the Limitations of System Identification. ANZCC Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, David B. Grayden, Iven M. Y. Mareels
2023	—	`conf`	A Self-Supervised Task-Agnostic Embedding for EEG Signals. NER Andi Partovi, Anthony N. Burkitt, David B. Grayden
2023	—	`conf`	Autoregressive models for biomedical signal processing. EMBC Jonas F. Haderlein, Andre D. H. Peterson, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden
2023	J	`jnl`	Autoregressive models for biomedical signal processing. CoRR Jonas F. Haderlein, Andre D. H. Peterson, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden
2023	J	`jnl`	Combining the neural mass model and Hodgkin-Huxley formalism: Neuronal dynamics modelling. Biomed. Signal Process. Control. Tianlin Ying, Anthony N. Burkitt, Tatiana Kameneva
2023	—	`conf`	Effect of alpha range activity on SSVEP decoding in brain-computer interfaces. EMBC Syeda R. Zehra, Jing Mu, Anthony N. Burkitt, David B. Grayden
2023	J	`jnl`	Evaluation of Optimal Stimuli for SSVEP-Based Augmented Reality Brain-Computer Interfaces. IEEE Access Syeda R. Zehra, Jing Mu, Brandon Victor Syiem, Anthony N. Burkitt, David B. Grayden
2023	J	`jnl`	Inhibitory stabilized network behaviour in a balanced neural mass model of a cortical column. Neural Networks Parvin Zarei Eskikand, Artemio Soto-Breceda, Mark J. Cook, Anthony N. Burkitt, David B. Grayden
2023	J	`jnl`	Path Signatures for Seizure Forecasting. CoRR Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden
2023	J	`jnl`	Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons. PLoS Comput. Biol. Charlie M. Sexton, Anthony N. Burkitt, Hinze Hogendoorn
2022	J	`jnl`	Emergence of radial orientation selectivity: Effect of cell density changes and eccentricity in a layered network. Frontiers Comput. Neurosci. Catherine E. Davey, David B. Grayden, Anthony N. Burkitt
2021	J	`jnl`	Impact of axonal delay on structure development in a multi-layered network. Neural Networks Catherine E. Davey, David B. Grayden, Anthony N. Burkitt
2021	J	`jnl`	Learning receptive field properties of complex cells in V1. PLoS Comput. Biol. Yanbo Lian, Ali Almasi, David B. Grayden, Tatiana Kameneva, Anthony N. Burkitt, Hamish Meffin
2021	—	`conf`	On the benefit of overparameterization in state reconstruction. CDC Jonas F. Haderlein, Iven M. Y. Mareels, Andre D. H. Peterson, Parvin Zarei Eskikand, Anthony N. Burkitt, David B. Grayden
2021	—	`conf`	Universal neurophysiological interpretation of EEG brain-computer interfaces. BCI James D. Bennett, Sam E. John, David B. Grayden, Anthony N. Burkitt
2020	—	`conf`	A Convolutional Neural Network Model for Decoding EEG signals in a Hand-Squeeze Task BCI Andi Partovi, Farhad Goodarzy, Ewan S. Nurse, Philippa J. Karoly, Dean Freeston, Mark J. Cook, Anthony N. Burkitt, David B. Grayden
2019	J	`jnl`	Computational Neural Modeling of Auditory Cortical Receptive Fields. Frontiers Comput. Neurosci. Jordan D. Chambers, Diego Elgueda, Jonathan B. Fritz, Shihab A. Shamma, Anthony N. Burkitt, David B. Grayden
2018	J	`jnl`	A biologically-based computational model of visual cortex that overcomes the X-junction illusion. Neural Networks Parvin Zarei Eskikand, Tatiana Kameneva, Michael R. Ibbotson, Anthony N. Burkitt, David B. Grayden
2018	—	`conf`	Bistability in Hodgkin-Huxley-type equations. EMBC Tatiana Kameneva, Hamish Meffin, Anthony N. Burkitt, David B. Grayden
2018	J	`jnl`	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. Martin J. Spencer, Hamish Meffin, Anthony N. Burkitt, David B. Grayden
2018	J	`jnl`	Electrical receptive fields of retinal ganglion cells: Influence of presynaptic neurons. PLoS Comput. Biol. 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
2018	J	`jnl`	Predictive coding of visual object position ahead of moving objects revealed by time-resolved EEG decoding. NeuroImage Hinze Hogendoorn, Anthony N. Burkitt
2017	—	`ch.`	A Minimally Invasive Endovascular Stent-Electrode Array for Chronic Recordings of Cortical Neural Activity. Brain-Computer Interface Research (6) 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
2017	J	`jnl`	Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators. Int. J. Neural Syst. Elma O'Sullivan-Greene, Levin Kuhlmann, Ewan Nurse, Dean R. Freestone, David B. Grayden, Mark J. Cook, Anthony N. Burkitt, Iven Mareels
2016	—	`conf`	A computational model of orientation-dependent activation of retinal ganglion cells. EMBC Timothy Esler, Anthony N. Burkitt, David B. Grayden, Robert R. Kerr, Bahman Tahayori, Hamish Meffin
2016	—	`conf`	Feasibility of a chronic, minimally invasive endovascular neural interface. EMBC 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
2016	J	`jnl`	Learning Pitch with STDP: A Computational Model of Place and Temporal Pitch Perception Using Spiking Neural Networks. PLoS Comput. Biol. Nafise Erfanian Saeedi, Peter J. Blamey, Anthony N. Burkitt, David B. Grayden
2015	J	`jnl`	Spike history neural response model. J. Comput. Neurosci. Tatiana Kameneva, Miganoosh Abramian, Daniele Zarelli, Dragan Nesic, Anthony N. Burkitt, Hamish Meffin, David B. Grayden
2014	J	`jnl`	A comparison of open-loop and closed-loop stimulation strategies to control excitation of retinal ganglion cells. Biomed. Signal Process. Control. Tatiana Kameneva, Daniele Zarelli, Dragan Nesic, David B. Grayden, Anthony N. Burkitt, Hamish Meffin
2014	—	`conf`	Feedback stimulation strategy: Control of retinal ganglion cells activation. EMBC Tatiana Kameneva, David B. Grayden, Hamish Meffin, Anthony N. Burkitt
2014	J	`jnl`	Interplay of Intrinsic and Synaptic Conductances in the Generation of High-Frequency Oscillations in Interneuronal Networks with Irregular Spiking. PLoS Comput. Biol. Fabiano Baroni, Anthony N. Burkitt, David B. Grayden
2014	J	`jnl`	Observability limits for networked oscillators. Autom. Elma O'Sullivan-Greene, Iven Mareels, Levin Kuhlmann, Anthony N. Burkitt
2014	J	`jnl`	The effect of morphology upon electrophysiological responses of retinal ganglion cells: simulation results. J. Comput. Neurosci. Matias I. Maturana, Tatiana Kameneva, Anthony N. Burkitt, Hamish Meffin, David B. Grayden
2013	J	`jnl`	Delay Selection by Spike-Timing-Dependent Plasticity in Recurrent Networks of Spiking Neurons Receiving Oscillatory Inputs. PLoS Comput. Biol. Robert R. Kerr, Anthony N. Burkitt, Doreen A. Thomas, Matthieu Gilson, David B. Grayden
2013	—	`conf`	Embracing the irregular: A patient-specific image processing strategy for visual prostheses. EMBC Filiz Isabell Kiral-Kornek, Craig O. Savage, Elma O'Sullivan-Greene, Anthony N. Burkitt, David B. Grayden
2013	—	`conf`	Internal inconsistencies in models of electrical stimulation in neural tissue. EMBC Hamish Meffin, Bahman Tahayori, David B. Grayden, Anthony N. Burkitt
2013	—	`conf`	Modeling intrinsic electrophysiology of AII amacrine cells: Preliminary results. EMBC Nicholas V. Apollo, David B. Grayden, Anthony N. Burkitt, Hamish Meffin, Tatiana Kameneva
2013	—	`conf`	Multicompartment retinal ganglion cells response to high frequency bi-phasic pulse train stimulation: Simulation results. EMBC Matias I. Maturana, David B. Grayden, Anthony N. Burkitt, Hamish Meffin, Tatiana Kameneva
2013	—	`conf`	Retinal ganglion cells electrophysiology: The effect of cell morphology on impulse waveform. EMBC 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
2012	J	`jnl`	An investigation of dendritic delay in octopus cells of the mammalian cochlear nucleus. Frontiers Comput. Neurosci. Martin J. Spencer, David B. Grayden, Ian C. Bruce, Hamish Meffin, Anthony N. Burkitt
2012	—	`conf`	Determining the electrical impedance of the retina from a complex voltage map. EMBC Nicholas A. Venables, Bahman Tahayori, Hamish Meffin, David B. Grayden, Anthony N. Burkitt
2012	—	`conf`	Feature accentuation in phosphenated images. EMBC Filiz Isabell Kiral-Kornek, Craig O. Savage, David B. Grayden, Anthony N. Burkitt
2012	J	`jnl`	Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. Neural Comput. Matthieu Gilson, Moritz Bürck, Anthony N. Burkitt, J. Leo van Hemmen
2012	J	`jnl`	Heating of the Eye by a Retinal Prosthesis: Modeling, Cadaver and In Vivo Study. IEEE Trans. Biomed. Eng. Nicholas L. Opie, Anthony N. Burkitt, Hamish Meffin, David B. Grayden
2012	—	`conf`	Information theoretic inference of the optimal number of electrodes for future cochlear implants using a spiral cochlea model. EMBC Alexey S. Moroz, Mark D. McDonnell, Anthony N. Burkitt, David B. Grayden, Hamish Meffin
2012	—	`conf`	Minimisation of required charge for desired neuronal spike rate. EMBC Craig O. Savage, Tatiana Kameneva, David B. Grayden, Hamish Meffin, Anthony N. Burkitt
2012	J	`jnl`	Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity. PLoS Comput. Biol. Matthieu Gilson, Tomoki Fukai, Anthony N. Burkitt
2011	J	`jnl`	Closed-Loop Seizure Control with Very High Frequency Electrical Stimulation at Seizure Onset in the Gaers Model of Absence Epilepsy. Int. J. Neural Syst. Timothy S. Nelson, Courtney L. Suhr, Dean R. Freestone, Alan Lai, Amy J. Halliday, Karen J. McLean, Anthony N. Burkitt, Mark J. Cook
2011	J	`jnl`	Learning a Sparse Code for Temporal Sequences Using STDP and Sequence Compression. Neural Comput. Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin
2011	J	`jnl`	Modelling intrinsic electrophysiological properties of ON and OFF retinal ganglion cells. J. Comput. Neurosci. Tatiana Kameneva, Hamish Meffin, Anthony N. Burkitt
2011	—	`conf`	Predicting phosphene elicitation in patients with retinal implants: A mathematical study. EMBC Craig O. Savage, David B. Grayden, Hamish Meffin, Anthony N. Burkitt
2011	—	`conf`	Probing for cortical excitability. EMBC 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
2011	—	`conf`	Simulating electrical stimulation of degenerative retinal ganglion cells with bi-phasic pulse trains. EMBC Tatiana Kameneva, David B. Grayden, Hamish Meffin, Anthony N. Burkitt
2011	—	`conf`	Theoretical framework for estimating the conductivity map of the retina through finite element analysis. EMBC Bahman Tahayori, Hamish Meffin, Nicholas A. Venables, David B. Grayden, Anthony N. Burkitt
2010	J	`jnl`	A channel model for inferring the optimal number of electrodes for future cochlear implants. IEEE Trans. Inf. Theory Mark D. McDonnell, Anthony N. Burkitt, David B. Grayden, Hamish Meffin, Alex J. Grant
2010	J	`jnl`	Across-Frequency Delays Based on the Cochlear Traveling Wave: Enhanced Speech Presentation for Cochlear Implants. IEEE Trans. Biomed. Eng. Daniel A. Taft, David B. Grayden, Anthony N. Burkitt
2010	J	`jnl`	Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence. Biol. Cybern. Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
2010	J	`jnl`	STDP in Recurrent Neuronal Networks. Frontiers Comput. Neurosci. Matthieu Gilson, Anthony N. Burkitt, J. Leo van Hemmen
2010	J	`jnl`	Spiking Neuron Model for Temporal Sequence Recognition. Neural Comput. Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin
2009	J	`jnl`	Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity. Biol. Cybern. Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
2009	J	`jnl`	Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV. Biol. Cybern. Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
2009	J	`jnl`	Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways. Biol. Cybern. Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
2009	J	`jnl`	Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking. Biol. Cybern. Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Doreen A. Thomas, J. Leo van Hemmen
2009	—	`conf`	Observability issues in networked clocks with applications to epilepsy. CDC Elma O'Sullivan-Greene, Iven M. Y. Mareels, Anthony N. Burkitt, Levin Kuhlmann
2009	J	`jnl`	Speech coding with traveling wave delays: Desynchronizing cochlear implant frequency bands with cochlea-like group delays. Speech Commun. Daniel A. Taft, David B. Grayden, Anthony N. Burkitt
2008	A	`conf`	Traveling wave based group delays for cochlear implant speech processing. INTERSPEECH Daniel A. Taft, David B. Grayden, Anthony N. Burkitt
2007	—	`conf`	Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs. ICONIP (1) Matthieu Gilson, David B. Grayden, J. Leo van Hemmen, Doreen A. Thomas, Anthony N. Burkitt
2007	J	`jnl`	Spike-timing-dependent plasticity for neurons with recurrent connections. Biol. Cybern. Anthony N. Burkitt, Matthieu Gilson, J. Leo van Hemmen
2006	J	`jnl`	A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input. Biol. Cybern. Anthony N. Burkitt
2006	J	`jnl`	A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties. Biol. Cybern. Anthony N. Burkitt
2005	J	`jnl`	Dynamically adjustable contrast enhancement from cortical background activity. Neurocomputing Hamish Meffin, Anthony N. Burkitt, David B. Grayden
2004	J	`jnl`	An Analytical Model for the 'Large, Fluctuating Synaptic Conductance State' Typical of Neocortical Neurons J. Comput. Neurosci. Hamish Meffin, Anthony N. Burkitt, David B. Grayden
2004	J	`jnl`	Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point. Neural Comput. Anthony N. Burkitt, Hamish Meffin, David B. Grayden
2003	J	`jnl`	Gain modulation and balanced synaptic input in a conductance-based neural model. Neurocomputing Anthony N. Burkitt, Hamish Meffin, David B. Grayden
2003	J	`jnl`	How synapses in the auditory system wax and wane: theoretical perspectives. Biol. Cybern. Anthony N. Burkitt, J. Leo van Hemmen
2003	J	`jnl`	Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input. Biol. Cybern. Anthony N. Burkitt, Hamish Meffin, David B. Grayden
2002	J	`jnl`	An information-theoretic analysis of the coding of a periodic synaptic input by integrate-and-fire neurons. Neurocomputing Anthony N. Burkitt
2002	J	`jnl`	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. Levin Kuhlmann, Anthony N. Burkitt, Antonio Paolini, Graeme M. Clark
2001	J	`jnl`	Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials. Biol. Cybern. Anthony N. Burkitt
2001	J	`jnl`	Synchronization of the Neural Response to Noisy Periodic Synaptic Input. Neural Comput. Anthony N. Burkitt, Graeme M. Clark
2000	J	`jnl`	Analysis of synchronization in the response of neurons to noisy periodic synaptic input. Neurocomputing Anthony N. Burkitt, Graeme M. Clark
2000	J	`jnl`	Calculation of Interspike Intervals for Integrate-and-Fire Neurons with Poisson Distribution of Synaptic Inputs. Neural Comput. Anthony N. Burkitt, Graeme M. Clark
2000	J	`jnl`	Interspike interval variability for balanced networks with reversal potentials for large numbers of inputs. Neurocomputing Anthony N. Burkitt
1999	J	`jnl`	Analysis of Integrate-and-Fire Neurons: Synchronization of Synaptic Input and Spike Output. Neural Comput. Anthony N. Burkitt, Graeme M. Clark
1999	B	`conf`	Analysis of neural response for excitation-inhibition balanced networks with reversal potentials for large numbers of inputs. IJCNN Anthony N. Burkitt
1999	J	`jnl`	New technique for analyzing integrate and fire neurons. Neurocomputing Anthony N. Burkitt, Graeme M. Clark
1999	B	`conf`	Synchronization of the neural response to noisy periodic synaptic input. IJCNN Anthony N. Burkitt, Graeme M. Clark
1995	—	`conf`	Study of analogue neural networks that obey Dale's law using mean-field theory. ICNN Anthony N. Burkitt
1993	Misc	`conf`	Optimised Attractor Neural Networks with External Inputs. IWANN Anthony N. Burkitt
1992	J	`jnl`	Refined Pruning Techniques for Feed-forward Neural Networks. Complex Syst. Anthony N. Burkitt, Peer Ueberholz
1991	J	`jnl`	Optimization of the Architecture of Feed-forward Neural Networks with Hidden Layers by Unit Elimination. Complex Syst. Anthony N. Burkitt
1991	—	`book`	Parallel algorithms in computational science. Dieter W. Heermann, Anthony N. Burkitt
1990	J	`jnl`	Parallelization of the Ising model and its performance evaluation. Parallel Comput. D. W. Heermann, Anthony N. Burkitt