Computational Neuroscience

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Journal Articles

2006

Burkitt, A. N. (2006) A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input. Biological Cybernetics 95, 1-19.

Burkitt, A. N. (2006) A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties. Biological Cybernetics 95, 97-112.

Meffin, H., Besson, J., Burkitt, A. N., and Grayden, D. B. (2006) Learning the structure of correlated synaptic subgroups using stable and competitive spike-timing dependent plasticity. Physical Review E 73, 041911.

2005

Meffin, H., Burkitt, A. N., and Grayden, D. B. (2005) Dynamically Adjustable Contrast Enhancement from Cortical Background Activity. Neurocomputing 65-66, 633-639.

2004

Burkitt, A. N., Meffin, H., and Grayden, D. B. (2004) 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), 885-940.

Meffin, H., Burkitt, A. N., and Grayden, D. B. (2004) An analytical model for the 'large, fluctuating synaptic conductance state' typical of neocortical neurons in vivo. Journal of Computational Neuroscience 16, 159-175.

2003

Burkitt, A. N., and van Hemmen, L. J. (2003) How synapses in the auditory system wax and wane: Theoretical perspectives. Biological Cybernetics 89, 318-332.

Burkitt, A. N., Meffin, H., and Grayden, D. B. (2003) Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input. Biological Cybernetics 89, 119-125.

Burkitt, A. N., Meffin, H., and Grayden, D. B. (2003) Gain modulation and balanced synaptic input in a conductance-based neural model. Neurocomputing 52-54, 221-226.

2002

Burkitt, A. N. (2002) An information-theoretic analysis of the coding of a periodic synaptic input by integrate-and-fire neurons. Neurocomputing 44-46, 69-74 .

Burkitt, A. N., and Clark, G.

Kuhlmann, L., Burkitt, A. N., Paolini, A. G. and Clark, G.M. (2002) 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. 12, 55-73.

2001

Burkitt, A. N., and Clark, G. M. (2001) Synchronization of the neural response to noisy periodic synaptic input. Neural Computation 13(12), 2639-2672.

Burkitt, A. N. (2001) Balanced neurons: Analysis of leaky integrate-and-fire neurons with reversal potentials. Biological Cybernetics 85, 247-255.

Hohn, N. and Burkitt, A. N. (2001) Shot noise in the leaky integrate-and-fire neuron. Phys. Rev. E 63, 031902.

2000

Burkitt, A. N., and Clark, G. M. (2000) Calculation of interspike intervals for integrate-and-fire neurons with Poisson distribution of synaptic inputs. Neural Computation 12(8), 1789-1820.

Burkitt, A. N. and Clark, G. M. (2000) Analysis of synchronization in the response of neurons to noisy periodic synaptic input. Neurocomputing 32-33, 67-75.

Burkitt, A. N. (2000) Interspike interval variability for balanced networks with reversal potentials for large numbers of inputs. Neurocomputing 32-33, 313-321

1999

Burkitt, A. N., and Clark, G. M. (1999) Analysis of integrate-and-fire neurons: synchronization of synaptic input and spike output. Neural Computation 11(4), 871-901.

Burkitt, A. N. and Clark, G. M. (1999) New technique for analyzing integrate-and-fire neurons. Neurocomputing 26-27 (1999) 93-99.

1998

Burkitt, A. N. and Clark, G. M. (1998) New method for analyzing the synchronization of synaptic input and spike output in neural systems. Australian Journal of Intelligent Information Processing Systems 5, 50-54.

1996

Burkitt, A.N. (1996) Retrieval properties of attractor neural networks that obey Dale's law using a self-consistent signal-to-noise analysis. Network: Computation in Neural Systems 7, 517-532.

1994

Burkitt, A.N. (1994) Attractor neural networks with excitatory neurons and fast inhibitory interneurons at low spike rates. Network: Computation in Neural Systems 5, 437-448.

1993

Burkitt, A.N., and Ueberholz, P. (1993) Refined Pruning Techniques for Feed-forward Neural Networks. Complex Systems 6, 479-494.

Conference Proceedings

1999

Burkitt, A. N., and Clark, G. M. (1999) Modelling the responses of neurons to auditory stimuli: differences between acoustical and electrical stimulation. In Proceedings of the IEEE Engineering in Medicine and Biology (EMBS) Conference, 22-23 February 1999, Monash University, Australia, pp.46-49.

1996

Burkitt, A. N. (1996) A self-consistent signal-to-noise analysis of the retrieval properties of attractor neural networks. In Proceedings of the Seventh Australian Conference on Neural Networks, Eds. P. Bartlett, A. N. Burkitt, and R. C. Williamson, pp.56-61.

1995

Burkitt, A. N. (1995) Study of analogue neural networks that obey Dale's law using mean-field theory. In Proceedings of the 1995 IEEE International Conference on Neural Networks, pp.2583-2586, IEEE Press.

Burkitt, A. N. (1995) Self-consistent signal-to-noise analysis of attractor neural networks. In Proceedings of the Sixth Australian Conference on Neural Networks, Eds. M. Charles and C. Latimer, pp.102-105.

Burkitt, A. N. (1995) Towards biological attractor neural network models using mean-field theory. In Proceedings of the Sixth Australian Conference on Neural Networks, Eds. M. Charles and C. Latimer, pp.37-40.

1993

Burkitt, A. N. (1993) External stimuli in optimised attractor neural networks for sparsely coded patterns. In Proceedings of the Third International Conference on Artificial Neural Networks, pp.262-266, IEE.

Burkitt, A. N., and Ueberholz, P. (1993) Pruning feed-forward neural networks. In Proceedings of the Fourth Australian Conference on Neural Networks, Eds. P. Leong and M. Jabri, pp.185-188.

Burkitt, A. N. (1993) External stimuli in biased attractor neural networks. In Proceedings of the Fourth Australian Conference on Neural Networks, Eds. P. Leong and M. Jabri, pp.30-33, 1993.

Burkitt, A. N. (1993) External inputs to attractor neural networks. In Complex Systems: from biology to computation, Proceedings of the Complex Systems Conference, ANU, Eds. D. Green and T. Bossomaier, pp.341-350, IOS Press, Amsterdam.

Books/Volumes

1996

P. Bartlett, A. N. Burkitt, and R. C. Williamson (1996) Editors, Proceedings of the Seventh Australian Conference on Neural Networks.

Book/Volume Chapters

1997

Burkitt, A. N. (1997) Retrieval properties of attractor neural networks incorporating biological features - a self-consistent signal-to-noise analysis. In Computational Neuroscience: Trends in Research, 1997, Ed. Bower, J. M., pp.267-272, Plenum Press, New York.

1993

Burkitt, A. N. (1993) Optimised attractor neural networks with external inputs. In New Trends in Neural Computation, Proceedings of the International Workshop on Artificial Neural Networks, Springer Lecture Notes in Computer Science Vol. 686, pp.167-172, Springer Verlag, Heidelberg.

PhD Theses

Masters Theses

Honours/4th Year Undergraduate Theses