David B. Grayden

Catherine E. Davey, David B. Grayden, Gary F. Egan, Leigh A. Johnston: Filtering induces correlation in fMRI resting state data. NeuroImage 64: 728-740 (2013)

P. Aram, D. R. Freestone, Michael Dewar, Kenneth Scerri, V. Jirsa, David B. Grayden, Visakan Kadirkamanathan: Spatiotemporal multi-resolution approximation of the Amari type neural field model. NeuroImage 66: 88-102 (2013)

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)

Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik: Online learning in Bayesian Spiking Neurons. IJCNN 2012: 1-6

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)

D. R. Freestone, P. Aram, Michael Dewar, Kenneth Scerri, David B. Grayden, Visakan Kadirkamanathan: A data-driven framework for neural field modeling. NeuroImage 56(3): 1043-1058 (2011)

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)

Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin: Spiking Neuron Model for Temporal Sequence Recognition. Neural Computation 22(1): 61-93 (2010)

Daniel A. Taft, David B. Grayden, Anthony N. Burkitt: Across-Frequency Delays Based on the Cochlear Traveling Wave: Enhanced Speech Presentation for Cochlear Implants. IEEE Trans. Biomed. Engineering 57(3): 596-606 (2010)

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)

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)

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)

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)

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)

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)

Daniel A. Taft, David B. Grayden, Anthony N. Burkitt: Traveling wave based group delays for cochlear implant speech processing. INTERSPEECH 2008: 2207

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

Hamish Meffin, Anthony N. Burkitt, David B. Grayden: Dynamically adjustable contrast enhancement from cortical background activity. Neurocomputing 65-66: 633-639 (2005)

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)

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)

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)

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)

David B. Grayden, Michael S. Scordilis: Recognition of obstruent phonemes in speaker-independent fluent speech using a hierarchical approach. EUROSPEECH 1993