Mark D. McDonnell

1975 -

statsborgerskab: Australien

talte sprog: engelsk

Mark Damian McDonnell (born 28 February 1975) is an electronic engineer and mathematician, notable for his work on stochastic resonance and more specifically suprathreshold stochastic resonance. Source: Wikipedia (en)

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Stochastic Resonance

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2021-04-29

A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma

Amin Zadeh Shirazi, Mark D. McDonnell, Kaitlin G Scheer, Michael S. Samuel, Damon Tumes, Guillermo A. Gomez
2018-07-05

Simulation of electromyographic recordings following transcranial magnetic stimulation

Mitchell R Goldsworthy, Brenton Hordacre, Mark D. McDonnell, Nicolangelo Iannella
2017-04-24

Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition

Sebastien C Wong, Ivan Lee, Mark D. McDonnell
2017-09-13

Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance

Liyan Xu, Xiao Gao, Derek Abbott, Mark D. McDonnell
2017-09-22

Phase changes in neuronal postsynaptic spiking due to short term plasticity

Mark D. McDonnell, Bruce P Graham
2016-12-01

Modeling Electrode Place Discrimination in Cochlear Implant Stimulation

Xiao Gao, Mark D. McDonnell
2016-08-02

Ion channel noise can explain firing correlation in auditory nerves

Bahar Moezzi, Nicolangelo Iannella, Nicolangelo Iannella, Mark D. McDonnell
2016-04-21

Editorial: Neuronal Stochastic Variability: Influences on Spiking Dynamics and Network Activity

Mark D. McDonnell, Joshua H Goldwyn
2016-03-01

Too good to be true: when overwhelming evidence fails to convince

Lachlan J Gunn, François Chapeau-Blondeau, Mark D. McDonnell, Andrew Allison
2015-08-11

Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the 'Extreme Learning Machine' Algorithm

Mark D. McDonnell, Andre van Schaik
2015-03-11

A review of methods for identifying stochastic resonance in simulations of single neuron models

Mark D. McDonnell, Nicolangelo Iannella, Boris Gutkin, Jürgen Jost
2015-01-01

Dynamics of gamma bursts in local field potentials.

Mark D. McDonnell
2014

Small modifications to network topology can induce stochastic bistable spiking dynamics in a balanced cortical model

Mark D. McDonnell
2014-12-23

Modeling the influence of short term depression in vesicle release and stochastic calcium channel gating on auditory nerve spontaneous firing statistics

Nicolangelo Iannella, Nicolangelo Iannella, Mark D. McDonnell
2014-05-01

Engineering Intelligent Electronic Systems Based on Computational Neuroscience

Terrence J. Sejnowski, Mark D. McDonnell, Auke Jan Ijspeert
2014-11-17

A unified account of perceptual layering and surface appearance in terms of gamut relativity

Mark D. McDonnell
2014-12-08

Motif-role-fingerprints: the building-blocks of motifs, clustering-coefficients and transitivities in directed networks

Mark D. McDonnell, Nicolangelo Iannella, Nicolangelo Iannella
2014-08-29

Stochastic information transfer from cochlear implant electrodes to auditory nerve fibers.

Xiao Gao, Mark D. McDonnell
2013-04-19

Interaction of short-term depression and firing dynamics in shaping single neuron encoding

Mark D. McDonnell
2013-01-01

Information theoretic optimization of cochlear implant electrode usage probabilities

Mark D. McDonnell
2013-01-01

Identifying positive roles for endogenous stochastic noise during computation in neural systems

Mark D. McDonnell
2013-08-12

Optimal sensor selection for noisy binary detection in stochastic pooling networks

Mark D. McDonnell
2013-11-26

Channel-noise-induced stochastic facilitation in an auditory brainstem neuron model

Mark D. McDonnell
2013-03-07

Metabolic cost of neuronal information in an empirical stimulus-response model

Lubomir Kostal, Petr Lánský, Mark D. McDonnell
2011-06-20

The benefits of noise in neural systems: bridging theory and experiment

Mark D. McDonnell
2011-03-10

Methods for generating complex networks with selected structural properties for simulations: a review and tutorial for neuroscientists

Mark D. McDonnell
2011-07-27

An introductory review of information theory in the context of computational neuroscience

Shiro Ikeda, Jonathan H Manton, Mark D. McDonnell
2011-09-08

Input-rate modulation of γ oscillations is sensitive to network topology, delays and short-term plasticity

Mark D. McDonnell
2009-05-01

What is stochastic resonance? Definitions, misconceptions, debates, and its relevance to biology

Derek Abbott, Mark D. McDonnell
2009-12-08

Signal acquisition via polarization modulation in single photon sources

Mark D. McDonnell
2009-04-06

Information capacity of stochastic pooling networks is achieved by discrete inputs

Mark D. McDonnell
2009-09-22

Neural population coding is optimized by discrete tuning curves

Mark D. McDonnell

Human - wd:Q6767243

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Mark D. McDonnell

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