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
J.L. van HemmenProfessor of Theoretical Biophysics, TU MünchenVerified email at tum.de
Iven MareelsIBM A/NZ & Honorary Professor at The University of MelbourneVerified email at au1.ibm.com
Levin KuhlmannSenior Lecturer in Data Science and Digital Health, Faculty of Information Technology, MonashVerified email at monash.edu
Dean FreestoneSeer MedicalVerified email at seermedical.com
Antonio G PaoliniProfessor of Psychology, RMIT UniversityVerified email at rmit.edu.au
Matias MaturanaSeer Medical / University of MelbourneVerified email at unimelb.edu.au
Bahman TahayoriThe University of MelbourneVerified email at unimelb.edu.au
Michael R. IbbotsonProfessor of Visual NeuroscienceVerified email at nvri.org.au
Alan LaiBionics InstituteVerified email at bionicsinstitute.org
Tim NelsonSeer MedicalVerified email at seermedical.com
Nicholas L OpieCTO, Synchron; Professor, University of MelbourneVerified email at unimelb.edu.au
Mohit Naresh ShivdasaniUniversity of New South WalesVerified email at unsw.edu.au
Elma O'Sullivan-GreeneResearch Fellow, Department of Electrical & Electronic Engineering, The University of MelbourneVerified email at unimelb.edu.au
David A.X. NayagamBionics Institute / The University of MelbourneVerified email at bionicsinstitute.org
Shaun L. ClohertyRMIT UniversityVerified email at rmit.edu.au
Yan Tat WongMonash UniversityVerified email at monash.edu

Anthony N. Burkitt

University of Melbourne

Verified email at unimelb.edu.au - Homepage

Theoretical Neuroscience Biomedical Engineering Neuroengineering Bionic Eye Medical Bionics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input AN Burkitt Biological Cybernetics 95 (1), 1-19, 2006	1050	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	559	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	337	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	277	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	164	2016
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	118	2001
Lattice fermions in odd dimensions C Burden, AN Burkitt EPL (Europhysics Letters) 3 (5), 545, 1987	118	1987
Analysis of integrate-and-fire neurons: synchronization of synaptic input and spike output AN Burkitt, GM Clark Neural computation 11 (4), 871-901, 1999	113	1999
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	106	2004
Parallel algorithms in computational science DW Heermann, AN Burkitt Springer-Verlag New York, Inc., 1991	101*	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 (2), 81-102, 2009	98	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	91	1990
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	78	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	72	2004
STDP in recurrent neuronal networks M Gilson, A Burkitt, JL van Hemmen Frontiers in computational neuroscience 4, 15, 2010	70	2010
Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input AN Burkitt, H Meffin, DB Grayden Biological cybernetics 89 (2), 119-125, 2003	69	2003
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), 1-12, 2020	68	2020
Shot noise in the leaky integrate-and-fire neuron N Hohn, AN Burkitt Physical Review E 63 (3), 031902, 2001	68	2001
Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials AN Burkitt Biological Cybernetics 85 (4), 247-255, 2001	67	2001
Closed-loop seizure control with very high frequency electrical stimulation at seizure onset in the GAERS model of absence epilepsy TS Nelson, CL Suhr, DR Freestone, A Lai, AJ Halliday, KJ McLean, ... International journal of neural systems 21 (02), 163-173, 2011	64	2011

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