Anthony N. Burkitt

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David GraydenDept. of Biomedical Engineering, University of MelbourneVerified email at unimelb.edu.au
Hamish MeffinAssociate Professor, The University of MelbourneVerified email at unimelb.edu.au
Mark CookUniversity of MelbourneVerified email at unimelb.edu.au
Tatiana KamenevaSwinburne University of TechnologyVerified email at swin.edu.au
Levin KuhlmannAssociate Professor in Data Science, AI and Digital Health, Faculty of Information TechnologyVerified email at monash.edu
J.L. van HemmenProfessor of Theoretical Biophysics, TU MünchenVerified email at tum.de
Iven MareelsFederation University AustraliaVerified email at federation.edu.au
Matias MaturanaSeer Medical / University of MelbourneVerified email at unimelb.edu.au
Michael R. IbbotsonProfessor of Visual NeuroscienceVerified email at nvri.org.au
Antonio G PaoliniProfessor of Psychology, RMIT UniversityVerified email at rmit.edu.au
Bahman TahayoriThe University of MelbourneVerified email at unimelb.edu.au
Nicholas L OpieProfessor, University of MelbourneVerified email at unimelb.edu.au
Alan LaiBionics InstituteVerified email at bionicsinstitute.org
Mohit Naresh ShivdasaniUniversity of New South WalesVerified email at unsw.edu.au
Wendyl D'SouzaDepartment of Medicine, St Vincent's Hospital, The University of MelbourneVerified email at unimelb.edu.au
Erica FletcherThe University of MelbourneVerified email at unimelb.edu.au
Elma O'Sullivan-GreeneResearch Fellow, Department of Electrical & Electronic Engineering, The University of MelbourneVerified email at unimelb.edu.au
Shaun L. ClohertyRMIT UniversityVerified email at rmit.edu.au
David A.X. NayagamBionics Institute / The University of MelbourneVerified email at bionicsinstitute.org
Yan Tat WongMonash UniversityVerified email at monash.edu

Anthony N. Burkitt

University of Melbourne

Verified email at unimelb.edu.au - Homepage

Theoretical Neuroscience Spiking Neural Networks Neuroengineering Medical Bionics


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A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input AN Burkitt Biological Cybernetics 95 (1), 1-19, 2006	1453	2006
The Monte Carlo method in condensed matter physics A Baumgärtner, AN Burkitt, DM Ceperley, H De Raedt, AM Ferrenberg, ... Springer Science & Business Media, 2012	587	2012
A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties A Burkitt Biological Cybernetics 95 (2), 97-112, 2006	393	2006
First-in-human trial of a novel suprachoroidal retinal prosthesis LN Ayton, PJ Blamey, RH Guymer, CD Luu, DAX Nayagam, NC Sinclair, ... PloS one 9 (12), e115239, 2014	360	2014
Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity TJ Oxley, NL Opie, SE John, GS Rind, SM Ronayne, TL Wheeler, JW Judy, ... Nature biotechnology 34 (3), 320-327, 2016	305	2016
Critical slowing down as a biomarker for seizure susceptibility MI Maturana, C Meisel, K Dell, PJ Karoly, W D’Souza, DB Grayden, ... Nature communications 11 (1), 2172, 2020	191	2020
Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: first in-human experience TJ Oxley, PE Yoo, GS Rind, SM Ronayne, CMS Lee, C Bird, V Hampshire, ... Journal of neurointerventional surgery 13 (2), 102-108, 2021	174	2021
Analysis of integrate-and-fire neurons: synchronization of synaptic input and spike output AN Burkitt, GM Clark Neural computation 11 (4), 871-901, 1999	126	1999
Lattice fermions in odd dimensions C Burden, AN Burkitt Europhysics Letters 3 (5), 545, 1987	122	1987
Temporal processing from the auditory nerve to the medial nucleus of the trapezoid body in the rat AG Paolini, JV FitzGerald, AN Burkitt, GM Clark Hearing research 159 (1-2), 101-116, 2001	120	2001
Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point AN Burkitt, H Meffin, DB Grayden Neural Computation 16 (5), 885-940, 2004	114	2004
Parallel algorithms in computational science DW Heermann, AN Burkitt Springer-Verlag New York, Inc., 1991	104*	1991
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity–strengthening correlated input pathways M Gilson, AN Burkitt, DB Grayden, DA Thomas, JL Van Hemmen Biological cybernetics 101, 81-102, 2009	103	2009
System size dependence of the autocorrelation time for the Swendsen-Wang Ising model DW Heermann, AN Burkitt Physica A: Statistical Mechanics and its Applications 162 (2), 210-214, 1990	97	1990
STDP in recurrent neuronal networks M Gilson, A Burkitt, JL van Hemmen Frontiers in computational neuroscience 4, 15, 2010	93	2010
Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons L Kuhlmann, D Freestone, A Lai, AN Burkitt, K Fuller, DB Grayden, ... Epilepsy research 91 (2-3), 214-231, 2010	91	2010
An analytical model for the ‘large, fluctuating synaptic conductance state’ typical of neocortical neurons in vivo H Meffin, AN Burkitt, DB Grayden Journal of computational neuroscience 16 (2), 159-175, 2004	90	2004
Shot noise in the leaky integrate-and-fire neuron N Hohn, AN Burkitt Physical Review E 63 (3), 031902, 2001	77	2001
Modeling extracellular electrical stimulation: I. Derivation and interpretation of neurite equations H Meffin, B Tahayori, DB Grayden, AN Burkitt Journal of neural engineering 9 (6), 065005, 2012	71	2012
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV: Structuring synaptic pathways among recurrent connections M Gilson, AN Burkitt, DB Grayden, DA Thomas, JL van Hemmen Biological cybernetics 101, 427-444, 2009	70	2009

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