• 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  

      A Biophysical Model of Endocannabinoid-Mediated Short Term Depression in Hippocampal Inhibition 

      Zachariou, Margarita; Alexander, S. P. H.; Coombes, S.; Christodoulou, Chris C. (2013)
      Memories are believed to be represented in the synaptic pathways of vastly interconnected networks of neurons. The plasticity of synapses, that is, their strengthening and weakening depending on neuronal activity, is ...
    • Article  

      Classification capacity of a modular neural network implementing neurally inspired architecture and training rules 

      Poirazi, Panayiota; Neocleous, Costas K.; Pattichis, Constantinos S.; Schizas, Christos N. (2004)
      A three-layer neural network (NN) with novel adaptive architecture has been developed. The hidden layer of the network consists of slabs of single neuron models, where neurons within a slab-but not between slabs- have the ...
    • Doctoral Thesis  Open Access

      Computational modeling of visual selective attention 

      Neokleous, Kleanthis (Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2011-05)
      Η μελέτη της διατριβής στοχεύει να συνεισφέρει σημαντικά στη μελέτη της ανθρώπινης προσοχής, και πιο συγκεκριμένα της οπτικής επιλεκτικής προσοχής κυρίως μέσω της δημιουργίας ενός γνωστικού υπολογιστικού μοντέλου βασιζόμενο ...
    • Article  

      Distinguishing the causes of firing with themembrane potential slope 

      Koutsou, Achilleas; Christodoulou, Chris C.; Bugmann, G.; Kanev, J. (2012)
      In this letter, we aim to measure the relative contribution of coincidence detection and temporal integration to the firing of spikes of a simple neuron model. To this end, we develop a method to infer the degree of synchrony ...
    • Article  


      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  

      On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuron 

      Koutsou, Achilleas; Bugmann, G.; Christodoulou, Chris C. (2015)
      Biological systems are able to recognise temporal sequences of stimuli or compute in the temporal domain. In this paper we are exploring whether a biophysical model of a pyramidal neuron can detect and learn systematic ...
    • 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  

      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 ...