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David B Grayden

Showing results (1-10 of 230) with videos related to

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Journal of Computational Neuroscience|February 6, 2004
An analytical model for the "large, fluctuating synaptic conductance state" typical of neocortical neurons in vivoHamish Meffin, Anthony N Burkitt, David B Grayden
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Observers for Phenomenological Models of Epileptic SeizuresGabriel A Sotomayor, David B Grayden, Dragan Nesic
IEEE Transactions on Bio-Medical Engineering|December 8, 2016
Modeling Electrode Place Discrimination in Cochlear Implant StimulationXiao Gao, David B Grayden, Mark D McDonnell
Expert Review of Medical Devices|October 1, 2019
The future potential of the StentrodeSam E John, David B Grayden, Takufumi Yanagisawa
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Information theoretic optimization of cochlear implant electrode usage probabilitiesXiao Gao, David B Grayden, Mark D McDonnell
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
The electric field system of a macular ion channel plaqueColin G Hales, David B Grayden, Harry Quiney
International Journal of Neural Systems|October 26, 2016
IntroductionLevin Kuhlmann, David B Grayden, Mark J Cook
Plos Computational Biology|May 3, 2014
Interplay of intrinsic and synaptic conductances in the generation of high-frequency oscillations in interneuronal networks with irregular spikingFabiano Baroni, Anthony N Burkitt, David B Grayden
Neural Computation|April 9, 2004
Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed pointAnthony N Burkitt, Hamish Meffin, David B Grayden
Journal of Neural Engineering|May 14, 2025
POC-CSP: a novel parameterised and orthogonally-constrained neural network layer for learning common spatial patterns (CSP) in EEG signalsAndi Partovi, David B Grayden, Anthony N Burkitt
Pageof 23

Showing results (1-10 of 230) with videos related to

Sort By:
Pageof 23
Journal of Computational Neuroscience|February 6, 2004
An analytical model for the "large, fluctuating synaptic conductance state" typical of neocortical neurons in vivoHamish Meffin, Anthony N Burkitt, David B Grayden
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Observers for Phenomenological Models of Epileptic SeizuresGabriel A Sotomayor, David B Grayden, Dragan Nesic
IEEE Transactions on Bio-Medical Engineering|December 8, 2016
Modeling Electrode Place Discrimination in Cochlear Implant StimulationXiao Gao, David B Grayden, Mark D McDonnell
Expert Review of Medical Devices|October 1, 2019
The future potential of the StentrodeSam E John, David B Grayden, Takufumi Yanagisawa
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Information theoretic optimization of cochlear implant electrode usage probabilitiesXiao Gao, David B Grayden, Mark D McDonnell
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
The electric field system of a macular ion channel plaqueColin G Hales, David B Grayden, Harry Quiney
International Journal of Neural Systems|October 26, 2016
IntroductionLevin Kuhlmann, David B Grayden, Mark J Cook
Plos Computational Biology|May 3, 2014
Interplay of intrinsic and synaptic conductances in the generation of high-frequency oscillations in interneuronal networks with irregular spikingFabiano Baroni, Anthony N Burkitt, David B Grayden
Neural Computation|April 9, 2004
Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed pointAnthony N Burkitt, Hamish Meffin, David B Grayden
Journal of Neural Engineering|May 14, 2025
POC-CSP: a novel parameterised and orthogonally-constrained neural network layer for learning common spatial patterns (CSP) in EEG signalsAndi Partovi, David B Grayden, Anthony N Burkitt
Pageof 23