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Research project

Dr Phil Newland BBSRC Multimodal Computation in Neural Networks

Staff

Lead researcher

Emeritus Professor Philip Newland

Other researchers

Professor David Simpson

Prof of Biomedical Signal Processing

Research interests

  • His research interests are in biomedical signal processing with applications in neurophysiology and cardio-vascular and cerebro-vascular control. Specific topics are:
  • Blood flow control in the brain (how does the brain regulate is own blood supply and how to detect impairment of this function).
  • Auditory evoked potentials (methods to detect the small electrical responses of the brain to auditory stimulation for the assessment of various hearing disorders).

Research outputs

Slow motor neuron stimulation of locust skeletal muscle: model and measurement
Emma Wilson,
Emiliano Rustighi,
Philip L. Newland,
& Brian R. Mace
, 2013 , Biomechanics and Modeling in Mechanobiology , 12 (3) , 581--596
DOI: 10.1007/s10237-012-0427-2
Type: article
The dynamics of analogue signalling in local networks controlling limb movement
N. Angarita-Jaimes,
Oliver Dewhirst,
D.M. Simpson,
Yasuhiro Kondoh,
Robert Allen,
& Philip Newland
, 2012 , European Journal of Neuroscience , 36 (9) , 3269--3282
DOI: 10.1111/j.1460-9568.2012.08236.x
Type: article
A system identification analysis of neural adaptation dynamics and nonlinear responses in the local reflex control of locust hind limbs
O.P. Dewhirst,
N. Angarita,
D.M. Simpson,
R. Allan,
& P.L. Newland
, 2012 , Journal of Computational Neuroscience , 34 (1) , 39--58
DOI: 10.1007/s10827-012-0405-9
Type: article
Understanding neuronal systems in movement control using Wiener/Volterra kernels: a dominant feature analysis
Xing Jian Jing,
David M. Simpson,
R. Allen,
& Philip L. Newland
, 2012 , Journal of Neuroscience Methods , 203 , 220--232
DOI: 10.1016/j.jneumeth.2011.09.014
Type: article
Modelling the isometric force response to multiple pulse stimuli in locust skeletal muscle
Emma Wilson,
Emiliano Rustighi,
Brian R. Mace,
& Phillip L Newland
, 2011 , Biological Cybernetics , 104 (1-2) , 121--136
DOI: 10.1007/s00422-011-0423-0
Type: article
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