Anthony N. Burkitt
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
9022006
The Monte Carlo method in condensed matter physics
A Baumgärtner, AN Burkitt, DM Ceperley, H De Raedt, AM Ferrenberg, ...
Springer Science & Business Media, 2012
5152012
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
3142006
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
2402014
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
1332016
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
1152001
Lattice fermions in odd dimensions
C Burden, AN Burkitt
EPL (Europhysics Letters) 3 (5), 545, 1987
1151987
Analysis of integrate-and-fire neurons: synchronization of synaptic input and spike output
AN Burkitt, GM Clark
Neural computation 11 (4), 871-901, 1999
1101999
Parallel algorithms in computational science
DW Heermann, AN Burkitt
Springer-Verlag New York, Inc., 1991
104*1991
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
1002004
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
932009
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
901990
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
692004
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
692003
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
682010
STDP in recurrent neuronal networks
M Gilson, A Burkitt, JL van Hemmen
Frontiers in computational neuroscience 4, 15, 2010
662010
Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials
AN Burkitt
Biological Cybernetics 85 (4), 247-255, 2001
642001
Shot noise in the leaky integrate-and-fire neuron
N Hohn, AN Burkitt
Physical Review E 63 (3), 031902, 2001
642001
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV
M Gilson, AN Burkitt, DB Grayden, DA Thomas, JL van Hemmen
Biological cybernetics 101 (5), 427-444, 2009
602009
Seizure detection using seizure probability estimation: Comparison of features used to detect seizures
L Kuhlmann, AN Burkitt, MJ Cook, K Fuller, DB Grayden, L Seiderer, ...
Annals of biomedical engineering 37 (10), 2129-2145, 2009
572009
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