Search Results - "Burkitt, Anthony N."

Relating sparse and predictive coding to divisive normalization.

Authors: Lian, Yanbo Burkitt, Anthony N.

Source: PLoS Computational Biology. 5/27/2025, Vol. 21 Issue 5, p1-22. 22p.

Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons.

Authors: Sexton, Charlie M. Burkitt, Anthony N. Hogendoorn, Hinze

Source: PLoS Computational Biology. 9/6/2023, Vol. 19 Issue 9, p1-18. 18p. 2 Charts, 7 Graphs.

Across-Frequency Delays Based on the Cochlear Traveling Wave: Enhanced Speech Presentation for Cochlear Implants.

Authors: Taft, Daniel A. Grayden, David B. Burkitt, Anthony N.

Source: IEEE Transactions on Biomedical Engineering; March 2010, Vol. 57 Issue 3, p596-606, 11p

A Channel Model for Inferring the Optimal Number of Electrodes for Future Cochlear Implants.

Authors: McDonnell, Mark D. Burkitt, Anthony N. Grayden, David B.

Source: IEEE Transactions on Information Theory; February 2010, Vol. 56 Issue 2, p928-940, 13p

Inhibitory stabilized network behaviour in a balanced neural mass model of a cortical column.

Authors: Zarei Eskikand, Parvin Soto-Breceda, Artemio Cook, Mark J. et al.

Source: Neural Networks; Sep2023, Vol. 166, p296-312, 17p

Balancing prior knowledge and sensory data in a predictive coding model of coherent motion detection.

Authors: Nemati, Elnaz Grayden, David B. Burkitt, Anthony N. et al.

Source: PLoS Computational Biology. 5/21/2025, Vol. 21 Issue 5, p1-25. 25p.

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Single-compartment models of retinal ganglion cells with different electrophysiologies.

Authors: Qin, Wei Hadjinicolaou, Alex Grayden, David B. et al.

Source: Network: Computation in Neural Systems; 2017, Vol. 28 Issue 2-4, p74-93, 20p

Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy.

Authors: Zarei Eskikand, Parvin Cook, Mark J. Burkitt, Anthony N. et al.

Source: Scientific Reports. 2/4/2025, Vol. 15 Issue 1, p1-12. 12p.

Ambient air pollution and epileptic seizures: A panel study in Australia.

Authors: Chen, Zhuying Yu, Wenhua Xu, Rongbin et al.

Source: Epilepsia (Series 4). Jul2022, Vol. 63 Issue 7, p1682-1692. 11p.

Subjects: Epilepsy, Air pollution, Panel analysis, Partial epilepsy, Air pollutants

Geographic Terms: Australia

Impact of axonal delay on structure development in a multi-layered network.

Authors: Davey, Catherine E. Grayden, David B. Burkitt, Anthony N.

Source: Neural Networks; Dec2021, Vol. 144, p737-754, 18p

Interplay of Intrinsic and Synaptic Conductances in the Generation of High-Frequency Oscillations in Interneuronal Networks with Irregular Spiking.

Authors: Baroni, Fabiano Burkitt, Anthony N. Grayden, David B.

Source: PLoS Computational Biology. May2014, Vol. 10 Issue 5, p1-22. 22p.

Delay Selection by Spike-Timing-Dependent Plasticity in Recurrent Networks of Spiking Neurons Receiving Oscillatory Inputs.

Authors: Kerr, Robert R. Burkitt, Anthony N. Thomas, Doreen A. et al.

Source: PLoS Computational Biology. Feb2013, Vol. 9 Issue 2, Special section p1-19. 19p. 4 Diagrams, 1 Chart, 5 Graphs.

Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity.

Authors: Gilson, Matthieu Bürck, Moritz Burkitt, Anthony N. et al.

Source: Neural Computation. Sep2012, Vol. 24 Issue 9, p2251-2279. 29p. 1 Diagram, 1 Chart, 7 Graphs.

Subjects: Neuroplasticity, Synapses, Dendritic cells, Mathematical analysis, Learning, Physiological adaptation

Learning a Sparse Code for Temporal Sequences Using STDP and Sequence Compression.

Authors: Byrnes, Sean Burkitt, Anthony N. Grayden, David B. et al.

Source: Neural Computation. Oct2011, Vol. 23 Issue 10, p2567-2598. 32p.

Subjects: Biological neural networks, Coding theory, Neuroplasticity, Computer simulation, Synapses, Learning, Hippocampus (Brain)

Spiking Neuron Model for Temporal Sequence Recognition.

Authors: Byrnes, Sean Burkitt, Anthony N. Grayden, David B. et al.

Source: Neural Computation. Jan2010, Vol. 22 Issue 1, p61-93. 33p. 2 Diagrams, 1 Chart, 7 Graphs.

Subjects: Biological neural networks, Recursive partitioning, Neuroplasticity, Retroactive interference (Psychology), Perturbation theory, Neural circuitry

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity.

Authors: Gilson, Matthieu Burkitt, Anthony N. Grayden, David B. et al.

Source: Biological Cybernetics. Dec2009, Vol. 101 Issue 5/6, p411-426. 16p. 1 Diagram, 1 Chart, 6 Graphs.

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity—symmetry breaking.

Authors: Gilson, Matthieu Burkitt, Anthony N. Grayden, David B. et al.

Source: Biological Cybernetics. Aug2009, Vol. 101 Issue 2, p103-114. 12p. 3 Diagrams, 1 Chart, 4 Graphs.

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity–strengthening correlated input pathways.

Authors: Gilson, Matthieu Burkitt, Anthony N. Grayden, David B. et al.

Source: Biological Cybernetics. Aug2009, Vol. 101 Issue 2, p81-102. 22p. 5 Diagrams, 1 Chart, 6 Graphs.

Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point.

Authors: Burkitt, Anthony N. Meffin, Hamish Grayden, David B.

Source: Neural Computation. May2004, Vol. 16 Issue 5, p885-940. 56p.

Subjects: Neuroplasticity, Presynaptic receptors, Synapses, Neural transmission, Neural circuitry, Nerves