David M. Halliday

Affiliations: 
University of York, York, England, United Kingdom 
Area:
Theoretical Neuroscience
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"David Halliday"
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Publications

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West TO, Halliday DM, Bressler SL, et al. (2020) Measuring Directed Functional Connectivity Using Non-Parametric Directionality Analysis: Validation and Comparison with Non-Parametric Granger Causality. Neuroimage. 116796
Spedden ME, Jensen P, Terkildsen CU, et al. (2019) The development of functional and directed corticomuscular connectivity during tonic ankle muscle contraction across childhood and adolescence. Neuroimage. 191: 350-360
Jensen P, Frisk R, Spedden ME, et al. (2019) Using Corticomuscular and Intermuscular Coherence to Assess Cortical Contribution to Ankle Plantar Flexor Activity During Gait. Journal of Motor Behavior. 1-13
Liu J, McDaid LJ, Harkin J, et al. (2018) Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network. Ieee Transactions On Neural Networks and Learning Systems
West TO, Berthouze L, Halliday DM, et al. (2018) Propagation of Beta/Gamma Rhythms in the Cortico-Basal Ganglia Circuits of the Parkinsonian Rat. Journal of Neurophysiology
Halliday D, Brittain JS, Stevenson CW, et al. (2017) Adaptive spectral tracking for coherence estimation: the z-tracker. Journal of Neural Engineering
Halliday DM, Senik MH, Stevenson C, et al. (2016) Non parametric directionality analysis - extension for removal of a single common predictor and application to time series. Journal of Neuroscience Methods
Halliday DM. (2015) Nonparametric directionality measures for time series and point process data. Journal of Integrative Neuroscience. 14: 253-77
Ward NJ, Farmer SF, Berthouze L, et al. (2013) Rectification of EMG in low force contractions improves detection of motor unit coherence in the beta-frequency band. Journal of Neurophysiology. 110: 1744-50
Brittain JS, Halliday DM. (2011) Optimal spectral tracking--adapting to dynamic regime change. Journal of Neuroscience Methods. 195: 111-5
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