Browsing by Subject "Action Potentials"

Now showing items 1-10 of 10

    • 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  

      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  

      Learning optimisation by high firing irregularity 

      Cleanthous, A.; Christodoulou, Chris C. (2012)
      In a network of leaky integrate-and-fire (LIF) neurons, we investigate the functional role of irregular spiking at high rates. Irregular spiking is produced by either employing the partial somatic reset mechanism on every ...
    • Article  

      Measuring input synchrony in the Ornstein-Uhlenbeck neuronal model through input parameter estimation 

      Koutsou, Achilleas; Kanev, J.; Christodoulou, Chris C. (2013)
      We present a method of estimating the input parameters and through them, the input synchrony, of a stochastic leaky integrate-and-fire neuronal model based on the Ornstein-Uhlenbeck process when it is driven by time-dependent ...
    • 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  

      Self-control with spiking and non-spiking neural networks playing games 

      Christodoulou, Chris C.; Banfield, G.; Cleanthous, A. (2010)
      Self-control can be defined as choosing a large delayed reward over a small immediate reward, while precommitment is the making of a choice with the specific aim of denying oneself future choices. Humans recognise that ...
    • Article  

      Spiking neural networks with different reinforcement learning (RL) schemes in a multiagent setting 

      Christodoulou, Chris C.; Cleanthous, A. (2010)
      This paper investigates the effectiveness of spiking agents when trained with reinforcement learning (RL) in a challenging multiagent task. In particular, it explores learning through rewardmodulated spike-timing dependent ...
    • Article  

      Time-scale analysis of motor unit action potentials 

      Pattichis, Constantinos S.; Pattichis, Marios S. (1999)
      Quantitative analysis in clinical electromyography (EMG) is very desirable because it allows a more standardized, sensitive and specific evaluation of the neurophysiological findings, especially for the assessment of ...
    • Article  

      Unsupervided pattern recognition for the classification of EMG signals 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S. (1999)
      The shapes and firing rates of motor unit action potentials (MUAP's) in an electromyographic (EMG) signal provide an important source of information for the diagnosis of neuromuscular disorders. In order to extract this ...