David B. Grayden

发表

Inferring the dynamic range of electrode current by using an information theoretic model of cochlear implant stimulation

Mark D. McDonnell, Xiao Gao, David B. Grayden, 2014, 2014 IEEE Information Theory Workshop (ITW 2014).

Recognition of obstruent phonemes in speaker-independent fluent speech using a hierarchical approach

David B. Grayden, Michael S. Scordilis, 1993, EUROSPEECH.

Balanced reduction of an IDE-based spatio-temporal model

Visakan Kadirkamanathan, David B. Grayden, Kenneth Scerri, 2011 .

Amplitude modulation in the stellate microcircuit of the cochlear nucleus

David B. Grayden, Anthony N. Burkitt, Michael A. Eager, 2011, 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Minimisation of required charge for desired neuronal spike rate

David B. Grayden, Anthony N. Burkitt, Craig O. Savage, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons

David B. Grayden, André van Schaik, Jonathan H. Manton, 2014, Neural Computation.

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

Mark D. McDonnell, Alex J. Grant, David B. Grayden, 2010, IEEE Transactions on Information Theory.

Algorithms to improve listening in noise for cochlear implant users

David B. Grayden, Hugh J. McDermott, James B. Fallon, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

SPARC: Noise Analysis and Signal Drift Correction in Long‐Period Multi‐Unit Recordings of Action Potentials in Autonomic Nerves

David B. Grayden, Martin J. Stebbing, Artemio Soto-Breceda, 2020 .

Enhancement of speech perception in noise by periodicity processing: A neurobiological model and signal processing algorithm

David B. Grayden, Neil M. McLachlan, D. Grayden, 2014, Speech Commun..

Toward a Biologically Plausible Model of LGN-V1 Pathways Based on Efficient Coding

David B. Grayden, Yanbo Lian, Anthony N. Burkitt, 2019, Front. Neural Circuits.

General analytical solution to Linsker's application of Hebbian rules in neural networks

David B. Grayden, Anthony N. Burkitt, Catherine E. Davey, 2018 .

Spatiotemporal multi-resolution approximation of the Amari type neural field model

Visakan Kadirkamanathan, Viktor K. Jirsa, David B. Grayden, 2013, NeuroImage.

Compensation for Traveling Wave Delay Through Selection of Dendritic Delays Using Spike-Timing-Dependent Plasticity in a Model of the Auditory Brainstem

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2018, Front. Comput. Neurosci..

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

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2011, Neural Computation.

TrueNorth-enabled real-time classification of EEG data for brain-computer interfacing

David B. Grayden, Benjamin S. Mashford, Isabell Kiral-Kornek, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Computational Neural Modeling of Auditory Cortical Receptive Fields

David B. Grayden, Anthony N. Burkitt, Shihab A. Shamma, 2019, Front. Comput. Neurosci..

Modeling Electrode Place Discrimination in Cochlear Implant Stimulation

Mark D. McDonnell, Xiao Gao, David B. Grayden, 2017, IEEE Transactions on Biomedical Engineering.

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

Matthieu Gilson, David B. Grayden, Anthony N. Burkitt, 2013, PLoS Comput. Biol..

David B. Grayden, Mark J. Cook, Dean R. Freestone, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

Application of a pitch perception model to investigate the effect of stimulation field spread on the pitch ranking abilities of cochlear implant recipients

David B. Grayden, Anthony N. Burkitt, Peter J. Blamey, 2014, Hearing Research.

Visual information can improve musical stream segregation

David B. Grayden, Anthony N. Burkitt, Peter J. Blamey, 2009 .

A Simple and Accurate Model to Predict Responses to Multi-electrode Stimulation in the Retina

David B. Grayden, Michael R. Ibbotson, Hamish Meffin, 2016, PLoS Comput. Biol..

Efficacy of electrical stimulation of retinal ganglion cells with temporal patterns resembling light-evoked spike trains

David B. Grayden, Michael R. Ibbotson, David J. Garrett, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimation of effective connectivity via data-driven neural modeling

David B. Grayden, Parham Aram, Dean R. Freestone, 2014, Front. Neurosci..

Heating of the Eye by a Retinal Prosthesis: Modeling, Cadaver and In Vivo Study

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2012, IEEE Transactions on Biomedical Engineering.

An integrated model of pitch perception incorporating place and temporal pitch codes with application to cochlear implant research

David B. Grayden, Anthony N. Burkitt, Peter J. Blamey, 2017, Hearing Research.

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

The focus of attention under phosphenated vision through retinal implants

David B. Grayden, Craig O. Savage, Filiz Isabell Kiral-Kornek, 2011, 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Introduction: International Journal of Neural Systems Special Issue

David B. Grayden, Levin Kuhlmann, Mark J. Cook, 2017 .

Modeling intrinsic electrophysiology of AII amacrine cells: Preliminary results

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Simulating electrical stimulation of degenerative retinal ganglion cells with bi-phasic pulse trains

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Probing for cortical excitability

David B. Grayden, Anthony N. Burkitt, Dean R. Freestone, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A computational model of sound recognition used to analyze the capacity and adaptability in learning vowel classes

David B. Grayden, Neil M. McLachlan, Jeffrey Spencer, 2013 .

Multicompartment retinal ganglion cells response to high frequency bi-phasic pulse train stimulation: Simulation results

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multi-Frequency Canonical Correlation Analysis (MFCCA): An Extended Decoding Algorithm for Multi-Frequency SSVEP pdf

Denny Oetomo, David B. Grayden, Ying Tan, 2020, ArXiv.

Ability of cochlear implant users to segregate a melodic line

David B. Grayden, Anthony N. Burkitt, Hamish Innes-Brown, 2010 .

Neural Stimulation with an Endovascular Brain-Machine Interface

David B. Grayden, Thomas J. Oxley, Nicholas L. Opie, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

Using convex optimization to compute channel capacity in a channel model of cochlear implant stimulation

Mark D. McDonnell, Xiao Gao, David B. Grayden, 2014, 2014 IEEE International Symposium on Information Theory.

Retinal ganglion cells electrophysiology: The effect of cell morphology on impulse waveform

David B. Grayden, Anthony N. Burkitt, Michael R. Ibbotson, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

On synchronization of networks of Wilson-Cowan oscillators with diffusive coupling

Dragan Nesic, David B. Grayden, Dean R. Freestone, 2016, Autom..

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

David B. Grayden, Anthony N. Burkitt, Daniel A. Taft, 2010, IEEE Transactions on Biomedical Engineering.

Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs

Matthieu Gilson, David B. Grayden, Anthony N. Burkitt, 2007, ICONIP.

Patient-specific neural mass modeling - stochastic and deterministic methods

David B. Grayden, Romain Postoyan, Mark J. Cook, 2013 .

7T-fMRI: Faster temporal resolution yields optimal BOLD sensitivity for functional network imaging specifically at high spatial resolution

David B. Grayden, Yan Tat Wong, Roger J. Ordidge, 2018, NeuroImage.

The effects of temperature changes on retinal ganglion cell responses to electrical stimulation

David B. Grayden, Michael R. Ibbotson, Hamish Meffin, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Preictal Directed Interactions in Epileptic Brain Networks

David B. Grayden, Anthony N. Burkitt, Andrea Varsavsky, 2011 .

In Vivo Impedance Characterization of Cortical Recording Electrodes Shows Dependence on Electrode Location and Size

David B. Grayden, Thomas J. Oxley, Nicholas V. Apollo, 2019, IEEE Transactions on Biomedical Engineering.

Speech coding with traveling wave delays: Desynchronizing cochlear implant frequency bands with cochlea-like group delays

David B. Grayden, Anthony N. Burkitt, Daniel A. Taft, 2009, Speech Commun..

Consistency of Long-Term Subdural Electrocorticography in Humans

David B. Grayden, Dean R. Freestone, Terence J. O'Brien, 2017, IEEE Transactions on Biomedical Engineering.

Seizure Detection Using Seizure Probability Estimation: Comparison of Features Used to Detect Seizures

David B. Grayden, Anthony N. Burkitt, Levin Kuhlmann, 2009, Annals of Biomedical Engineering.

Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2003, Biological Cybernetics.

Phonemic segmentation of fluent speech

David B. Grayden, Michael S. Scordilis, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Feedback stimulation strategy: Control of retinal ganglion cells activation

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Identification of A Neural Mass Model of Burst Suppression

David B. Grayden, Amirhossein Jafarian, Dean R. Freestone, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Matthieu Gilson, David B. Grayden, Anthony N. Burkitt, 2009, Biological Cybernetics.

The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012

Aranildo R. Lima, Wei Wang, Brendan McCane, 2012, IJCNN.

Internal inconsistencies in models of electrical stimulation in neural tissue

David B. Grayden, Anthony N. Burkitt, Bahman Tahayori, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The effect of temporal envelope on melody segregation

David B. Grayden, Anthony N. Burkitt, Peter J. Blamey, 2009 .

Improved sound processing for cochlear implants

David B. Grayden, Pam W. Dawson, Graeme M. Clark, 2002 .

Perceptual effect of reverberation on multi-microphone noise reduction for cochlear implants

David B. Grayden, Hugh J. McDermott, James B. Fallon, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Silvestro Micera, Johannes Schemmel, Szabolcs Káli, 2017, BMC Neuroscience.

Implant design and development

David B. Grayden, Graeme M. Clark, G. Clark, 2006 .

Seizure prediction and observability of EEG sources

David B. Grayden, Anthony N. Burkitt, Iven Mareels, 2011 .

A comparison of open-loop and closed-loop stimulation strategies to control excitation of retinal ganglion cells

Dragan Nesic, David B. Grayden, Anthony N. Burkitt, 2014, Biomed. Signal Process. Control..

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

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2004, Neural Computation.

A Possible Role for End-Stopped V1 Neurons in the Perception of Motion: A Computational Model

David B. Grayden, Anthony N. Burkitt, Michael R. Ibbotson, 2016, PloS one.

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

Matthieu Gilson, David B. Grayden, Anthony N. Burkitt, 2009, Biological Cybernetics.

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence

Matthieu Gilson, David B. Grayden, Anthony N. Burkitt, 2010, Biological Cybernetics.

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

David B. Grayden, Anthony N. Burkitt, Fabiano Baroni, 2014, PLoS Comput. Biol..

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV

Matthieu Gilson, David B. Grayden, Anthony N. Burkitt, 2009, Biological Cybernetics.

The electric field system of a macular ion channel plaque

Harry Quiney, David B. Grayden, Colin G. Hales, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

The Big Australian Speech Corpus (The Big ASC)

Dominique Estival, Takaaki Kuratate, Anne Cutler, 2010 .

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

Matthieu Gilson, David B. Grayden, Anthony N. Burkitt, 2009, Biological Cybernetics.

Filtering induces correlation in fMRI resting state data

Gary F. Egan, David B. Grayden, Leigh A. Johnston, 2013, NeuroImage.

A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery

David B. Grayden, Dean R. Freestone, Ewan S. Nurse, 2015, PloS one.

An investigation of dendritic delay in octopus cells of the mammalian cochlear nucleus

David B. Grayden, Anthony N. Burkitt, Ian C. Bruce, 2012, Front. Comput. Neurosci..

Theoretical framework for estimating the conductivity map of the retina through finite element analysis

David B. Grayden, Anthony N. Burkitt, Bahman Tahayori, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Electrical stimulation of neural tissue modeled as a cellular composite: Point Source electrode in an isotropic tissue

Dragan Nesic, David B. Grayden, Bahman Tahayori, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Determining the electrical impedance of the retina from a complex voltage map

David B. Grayden, Anthony N. Burkitt, Bahman Tahayori, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators

David B. Grayden, Anthony N. Burkitt, Dean R. Freestone, 2017, Int. J. Neural Syst..

Can electric current steering be used to control perception of a retinal prosthesis patient

David B. Grayden, Craig O. Savage, Bahman Tahayori, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Fast learning in Bayesian spiking neurons

David B. Grayden, André van Schaik, Jonathan H. Manton, 2013 .

Traveling wave based group delays for cochlear implant speech processing

David B. Grayden, Anthony N. Burkitt, Daniel A. Taft, 2008, INTERSPEECH.

Bistability in Hodgkin-Huxley-type equations

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Minimally Invasive Endovascular Stent-Electrode Array for Chronic Recordings of Cortical Neural Activity

David B. Grayden, Anthony N. Burkitt, Terence J. O'Brien, 2017, Brain-Computer Interface Research.

Learning receptive field properties of complex cells in V1

David B. Grayden, Yanbo Lian, Anthony N. Burkitt, 2020, bioRxiv.

Cortical Brain Stimulation with Endovascular Electrodes

David B. Grayden, Yan Tat Wong, Thomas J. Oxley, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An analysis of high rate speech processing strategies using the Nucleus 24 cochlear implant [Abstract]

David B. Grayden, Graeme M. Clark, Andrew E. Vandali, 1998 .

Slow-Fast Duffing Neural Mass Model

David B. Grayden, Amirhossein Jafarian, Dean R. Freestone, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A computational model of orientation-dependent activation of retinal ganglion cells

David B. Grayden, Anthony N. Burkitt, Bahman Tahayori, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Predicting phosphene elicitation in patients with retinal implants: A mathematical study

David B. Grayden, Anthony N. Burkitt, Craig O. Savage, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Spiking Neuron Model for Temporal Sequence Recognition

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2010, Neural Computation.

A biologically-based computational model of visual cortex that overcomes the X-junction illusion

David B. Grayden, Anthony N. Burkitt, Michael R. Ibbotson, 2018, Neural Networks.

Introduction

David B. Grayden, Levin Kuhlmann, Mark J. Cook, 2005, Medical History.

Are current-based synapses an accurate enough approximation? A homotopic mapping between current-based and conductance-based synapses in a neural field model of epilepsy

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2015 .

Summary of Linkage Infrastructure, Equipment and Facilities Proposals by State and Organisation

Takaaki Kuratate, Anne Cutler, Mohammed Bennamoun, 2010 .

Model-based estimation of intra-cortical connectivity using electrophysiological data

Visakan Kadirkamanathan, David B. Grayden, Parham Aram, 2015, NeuroImage.

Information theoretic optimization of cochlear implant electrode usage probabilities

Mark D. McDonnell, Xiao Gao, David B. Grayden, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Feature accentuation in phosphenated images

David B. Grayden, Anthony N. Burkitt, Craig O. Savage, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Introduction: Special Issue on Epilepsy Mechanisms, Models, Prediction and Control

David B. Grayden, Mark J. Cook, Levin Kuhlmann, 2017 .

A neural mass model of spontaneous burst suppression and epileptic seizures

Dragan Nesic, David B. Grayden, Dean R. Freestone, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Silver-diamond antenna for implantable mm-size bio-devices

David B. Grayden, Farhad Goodarzy, Milad Faizollah, 2016, 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS).

Capillary electrophoresis (CE) peak detection using a wavelet transform technique

David B. Grayden, Robert Stewart, Yonggang Zhu, 2008, Micro + Nano Materials, Devices, and Applications.

Evaluation of a minimally invasive endovascular neural interface for decoding motor activity

David B. Grayden, Gabriel Lombardi, Yan T. Wong, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

Embracing the irregular: A patient-specific image processing strategy for visual prostheses

David B. Grayden, Anthony N. Burkitt, Craig O. Savage, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Electrical receptive fields of retinal ganglion cells: Influence of presynaptic neurons

David B. Grayden, Anthony N. Burkitt, Michael R. Ibbotson, 2018, PLoS Comput. Biol..

Gain Modulation and Balanced Synaptic Input in a Conductance-Based Neural Model

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2002, Neurocomputing.

Spike history neural response model

Dragan Nesic, David B. Grayden, Anthony N. Burkitt, 2015, Journal of Computational Neuroscience.

Online learning in Bayesian Spiking Neurons

David B. Grayden, André van Schaik, Jonathan H. Manton, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Learning Pitch with STDP: A Computational Model of Place and Temporal Pitch Perception Using Spiking Neural Networks

David B. Grayden, Anthony N. Burkitt, Peter J. Blamey, 2016, PLoS Comput. Biol..

A blueprint for a comprehensive Australian English auditory-visual speech corpus

Takaaki Kuratate, Anne Cutler, Mohammed Bennamoun, 2009 .

Modeling electrode place discrimination in cochlear implants: Analysis of the influence of electrode array insertion depth

Mark D. McDonnell, Xiao Gao, David B. Grayden, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

Suitability of nitinol electrodes in neural prostheses such as endovascular neural interfaces

David B. Grayden, Yan Tat Wong, Thomas J. Oxley, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Information theoretic inference of the optimal number of electrodes for future cochlear implants using a spiral cochlea model

Mark D. McDonnell, David B. Grayden, Anthony N. Burkitt, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

The effect of morphology upon electrophysiological responses of retinal ganglion cells: simulation results

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2013, Journal of Computational Neuroscience.

An Analytical Model for the ‘Large, Fluctuating Synaptic Conductance State’ Typical of Neocortical Neurons In Vivo

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2004, Journal of Computational Neuroscience.

Spatial Resolution of Visual Stimuli in SSVEP-based Brain-Computer Interface

Denny Oetomo, David B. Grayden, Jing Mu, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

Analytic synchronization conditions for a network of Wilson and Cowan oscillators

Dragan Nesic, David B. Grayden, Dean R. Freestone, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Comparison of Steady-State Visual Evoked Potential (SSVEP) with LCD vs. LED Stimulation

Denny Oetomo, David B. Grayden, Ying Tan, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Dynamically adjustable contrast enhancement from cortical background activity

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2005, Neurocomputing.

Multi-Frequency Canonical Correlation Analysis (MFCCA): A Generalised Decoding Algorithm for Multi-Frequency SSVEP

Ying Tan, Denny Oetomo, David B. Grayden, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Automatic speech recognition in neurodegenerative disease

David B. Grayden, Adam P. Vogel, Benjamin G. Schultz, 2021, International Journal of Speech Technology.

On the benefit of overparameterization in state reconstruction

Iven M. Y. Mareels, David B. Grayden, Anthony N. Burkitt, 2021 .

The thalamocortical circuit and the generation of epileptic spikes in rat models of focal epilepsy

David B. Grayden, Anthony N. Burkitt, Dean R. Freestone, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

The ovine motor cortex: A review of functional mapping and cytoarchitecture

David B. Grayden, Terence J. O'Brien, Thomas J. Oxley, 2017, Neuroscience & Biobehavioral Reviews.

Skull Defects in Finite Element Head Models for Source Reconstruction from Magnetoencephalography Signals

David B. Grayden, Carsten H. Wolters, Stephan Lau, 2016, Front. Neurosci..

Feasibility of a chronic, minimally invasive endovascular neural interface

David B. Grayden, Anthony N. Burkitt, Terence J. O'Brien, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Critical slowing down as a biomarker for seizure susceptibility

David B. Grayden, Anthony N. Burkitt, Levin Kuhlmann, 2020, Nature Communications.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

Thermal heating of a retinal prosthesis: Thermal model and in-vitro study

David B. Grayden, Anthony N. Burkitt, Hamish Meffin, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Testing Auditory Processing Skills and their Associations with Language in 4—5-year-olds

David B. Grayden, Edith L. Bavin, D. Grayden, 2010, Language and speech.

A Neural Circuit Model of the Ventral Cochlear Nucleus

David B. Grayden, Anthony N. Burkitt, Michael A. Eager, 2004 .

The Effect of Visual Cues on Auditory Stream Segregation in Musicians and Non-Musicians

Jeremy Marozeau, David B. Grayden, Anthony N. Burkitt, 2010, PloS one.

Visual evoked potentials determine chronic signal quality in a stent-electrode endovascular neural interface

David B. Grayden, Thomas J. Oxley, Nicholas L. Opie, 2018, Biomedical Physics & Engineering Express.

Minimizing activation of overlying axons with epiretinal stimulation: The role of fiber orientation and electrode configuration

David B. Grayden, Anthony N. Burkitt, Bahman Tahayori, 2018, bioRxiv.

426: Real time detection and quantitative assessment of epileptic seizures from scalp EEG

David B. Grayden, Anthony N. Burkitt, Dean R. Freestone, 2008, Journal of Clinical Neuroscience.