Anthony N. Burkitt

	2012
35		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. Engineering 59(2): 339-345 (2012)
	2011
34		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): 163-173 (2011)
33		Tatiana Kameneva, Hamish Meffin, Anthony N. Burkitt: Modelling intrinsic electrophysiological properties of ON and OFF retinal ganglion cells. Journal of Computational Neuroscience 31(3): 547-561 (2011)
32		Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin: Learning a Sparse Code for Temporal Sequences Using STDP and Sequence Compression. Neural Computation 23(10): 2567-2598 (2011)
	2010
31		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. Biological Cybernetics 103(5): 365-386 (2010)
30		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 Transactions on Information Theory 56(2): 928-940 (2010)
29		Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin: Spiking Neuron Model for Temporal Sequence Recognition. Neural Computation 22(1): 61-93 (2010)
	2009
28		Elma O'Sullivan-Greene, Iven M. Y. Mareels, Anthony N. Burkitt, Levin Kuhlmann: Observability issues in networked clocks with applications to epilepsy. CDC 2009: 3527-3532
27		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. Biological Cybernetics 101(2): 103-114 (2009)
26		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. Biological Cybernetics 101(2): 81-102 (2009)
25		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. Biological Cybernetics 101(5-6): 411-426 (2009)
24		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. Biological Cybernetics 101(5-6): 427-444 (2009)
23		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 Communication 51(11): 1114-1123 (2009)
	2008
22		Daniel A. Taft, David B. Grayden, Anthony N. Burkitt: Traveling wave based group delays for cochlear implant speech processing. INTERSPEECH 2008: 2207
	2007
21		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: 102-111
20		Anthony N. Burkitt, Matthieu Gilson, J. Leo van Hemmen: Spike-timing-dependent plasticity for neurons with recurrent connections. Biological Cybernetics 96(5): 533-546 (2007)
	2006
19		Anthony N. Burkitt: A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input. Biological Cybernetics 95(1): 1-19 (2006)
18		Anthony N. Burkitt: A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties. Biological Cybernetics 95(2): 97-112 (2006)
	2005
17		Hamish Meffin, Anthony N. Burkitt, David B. Grayden: Dynamically adjustable contrast enhancement from cortical background activity. Neurocomputing 65-66: 633-639 (2005)
	2004
16		Hamish Meffin, Anthony N. Burkitt, David B. Grayden: An Analytical Model for the 'Large, Fluctuating Synaptic Conductance State' Typical of Neocortical Neurons In Vivo. Journal of Computational Neuroscience 16(2): 159-175 (2004)
15		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 Computation 16(5): 885-94 (2004)
	2003
14		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. Biological Cybernetics 89(2): 119-125 (2003)
13		Anthony N. Burkitt, J. Leo van Hemmen: How synapses in the auditory system wax and wane: theoretical perspectives. Biological Cybernetics 89(5): 318-332 (2003)
12		Anthony N. Burkitt, Hamish Meffin, David B. Grayden: Gain modulation and balanced synaptic input in a conductance-based neural model. Neurocomputing 52-54: 221-226 (2003)
	2002
11		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. Journal of Computational Neuroscience 12(1): 55-73 (2002)
10		Anthony N. Burkitt: An information-theoretic analysis of the coding of a periodic synaptic input by integrate-and-fire neurons. Neurocomputing 44-46: 69-74 (2002)
	2001
9		Anthony N. Burkitt: Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials. Biological Cybernetics 85(4): 247-255 (2001)
8		Anthony N. Burkitt, Graeme M. Clark: Synchronization of the Neural Response to Noisy Periodic Synaptic Input. Neural Computation 13(12): 2639-2672 (2001)
	2000
7		Anthony N. Burkitt, Graeme M. Clark: Calculation of Interspike Intervals for Integrate-and-Fire Neurons with Poisson Distribution of Synaptic Inputs. Neural Computation 12(8): 1789-1820 (2000)
6		Anthony N. Burkitt: Interspike interval variability for balanced networks with reversal potentials for large numbers of inputs. Neurocomputing 32-33: 313-321 (2000)
5		Anthony N. Burkitt, Graeme M. Clark: Analysis of synchronization in the response of neurons to noisy periodic synaptic input. Neurocomputing 32-33: 67-75 (2000)
	1999
4		Anthony N. Burkitt, Graeme M. Clark: Analysis of Integrate-and-Fire Neurons: Synchronization of Synaptic Input and Spike Output. Neural Computation 11(4): 871-901 (1999)
3		Anthony N. Burkitt, Graeme M. Clark: New technique for analyzing integrate and fire neurons. Neurocomputing 26-27: 93-99 (1999)
	1993
2		Anthony N. Burkitt: Optimised Attractor Neural Networks with External Inputs. IWANN 1993: 167-172
	1990
1		D. W. Heermann, Anthony N. Burkitt: Parallelization of the Ising model and its performance evaluation. Parallel Computing 13(3): 345-357 (1990)

Coauthor Index

1	Sean Byrnes	[29] [32]
2	Graeme M. Clark	[3] [4] [5] [7] [8] [11]
3	Mark J. Cook	[34]
4	Dean R. Freestone	[34]
5	Matthieu Gilson	[20] [21] [24] [25] [26] [27] [31]
6	Alex J. Grant (Alexander J. Grant)	[30]
7	David B. Grayden	[12] [14] [15] [16] [17] [21] [22] [23] [24] [25] [26] [27] [29] [30] [31] [32] [35]
8	Amy J. Halliday	[34]
9	D. W. Heermann	[1]
10	J. Leo van Hemmen	[13] [20] [21] [24] [25] [26] [27] [31]
11	Tatiana Kameneva	[33]
12	Levin Kuhlmann	[11] [28]
13	Alan Lai	[34]
14	Iven M. Y. Mareels	[28]
15	Mark D. McDonnell	[30]
16	Karen J. McLean	[34]
17	Hamish Meffin	[12] [14] [15] [16] [17] [29] [30] [32] [33] [35]
18	Timothy S. Nelson	[34]
19	Elma O'Sullivan-Greene	[28]
20	Nicholas L. Opie	[35]
21	Antonio Paolini	[11]
22	Courtney L. Suhr	[34]
23	Daniel A. Taft	[22] [23]
24	Doreen A. Thomas	[21] [24] [25] [26] [27] [31]

Colors in the list of coauthors

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