David M. Halliday
University of York
127 Papers
867 Citations
David M. Halliday is an academic researcher from University of York. The author has contributed to research in topics: Spiking neural network & Spike train. The author has an hindex of 33, co-authored 123 publications. Previous affiliations of David M. Halliday include University of Glasgow & University College London.
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Papers
The Fourier approach to the identification of functional coupling between neuronal spike trains.
Jay R. Rosenberg,A.M. Amjad,P. Breeze,David R. Brillinger,David R. Brillinger,David M. Halliday +5 more
TL;DR: The study of the behaviour of small networks of neurones frequently requires the determination of measures of the strength of association between component neurones, an assessment of their timing relations, and the identification of which neurones may interact directly or are influenced by common inputs.
934
Synchronization between motor cortex and spinal motoneuronal pool during the performance of a maintained motor task in man.
Bernard A. Conway,David M. Halliday,Simon F. Farmer,Uma Shahani,P. Maas,A.I. Weir,Jay R. Rosenberg +6 more
TL;DR: The results demonstrate that synchronized cortical activity contributing to MEG activity within the beta range of frequencies during maintained voluntary contractions is coupled to motor output at frequencies of motor‐ unit activity associated with motor‐unit synchronization.
914
The frequency content of common synaptic inputs to motoneurones studied during voluntary isometric contraction in man.
TL;DR: Analysis of the entire population of motor unit pairs confirmed a positive relationship between the magnitude of peak coherence and the size of the central cross‐intensity peak, and voluntary sinusoidal co‐modulation of the firing rates of pairs of individual motor units recorded from within 1DI was found to produce significant values of coherence corresponding to the frequency of the common modulation.
502
An extended difference of coherence test for comparing and combining several independent coherence estimates: theory and application to the study of motor units and physiological tremor
TL;DR: Two new techniques for dealing with an arbitrary number of independent coherence estimates are introduced and are illustrated by analysing the interactions between single motor unit discharges and finger tremor, and between pairs of motor unitdischarges in human subjects.
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