Browsing by Subject "action potential"

Now showing items 1-6 of 6

    • Article  

      Autoregressive and cepstral analyses of motor unit action potentials 

      Pattichis, Constantinos S.; Elia, Andreas G. (1999)
      Quantitative electromyographic signal analysis in the time domain for motor unit action potential (MUAP) classification and disease identification has been well documented over recent years. Considerable work has also been ...
    • Article  

      Coefficient of variation vs. mean interspike interval curves: What do they tell use about the brain? 

      Christodoulou, Chris C.; Bugmann, G. (2001)
      A number of models have been produced recently to explain the high variability of natural spike trains (Softky and Koch, J. Neurosci. 13 (1) (1993) 334). These models use a range of different biological mechanisms including ...
    • Article  

      Does high firing irregularity enhance learning? 

      Christodoulou, Chris C.; Cleanthous, A. (2011)
      In this note, we demonstrate that the high firing irregularity produced by the leaky integrate-and-fire neuron with the partial somatic reset mechanism, which has been shown to be the most likely candidate to reflect the ...
    • Article  

      Editorial 

      Lucas, P.; Rospars, J. -P; Christodoulou, Chris C. (2015)
    • Article  

      Multiagent reinforcement learning: Spiking and nonspiking agents in the Iterated Prisoner's Dilemma 

      Vassiliades, Vassilis; Cleanthous, A.; Christodoulou, Chris C. (2011)
      This paper investigates multiagent reinforcement learning (MARL) in a general-sum game where the payoffs' structure is such that the agents are required to exploit each other in a way that benefits all agents. The contradictory ...
    • Article  

      A spiking neuron model: Applications and learning 

      Christodoulou, Chris C.; Bugmann, G.; Clarkson, T. G. (2002)
      This paper presents a biologically inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the model as well as its applications in Computational ...