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Browsing by Subject "Neurons"

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    • Article  

      Behavioral plasticity through the modulation of switch neurons 

      Vassiliades, Vassilis; Christodoulou, Chris C. (2016)
      A central question in artificial intelligence is how to design agents capable of switching between different behaviors in response to environmental changes. Taking inspiration from neuroscience, we address this problem by ...

    • 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  

      Computational modeling of visual selective attention based on correlation and synchronization of neural activity 

      Neokleous,Kleanthis C.; Avraamides, Marios N.; Schizas, Christos N. (2009)
      Within the broad area of computational intelligence, it is of great importance to develop new computational models of human behaviour aspects. In this report we look into the recently suggested theory that neural synchronization ...

    • 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  

      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  

      High-order neural network structures for identification of dynamical systems 

      Kosmatopoulos, E. B.; Polycarpou, Marios M.; Christodoulou, M. A.; Ioannou, P. A. (1995)

    • Article  

      Identification, Distribution and Physiological Activity of Three Novel Neuropeptides of Lymnaea: FLRlamide and pQFYRlamide Encoded by the FMRFamide Gene, and a Related Peptide 

      Santama, Niovi; Wheeler, C. H.; Skingsley, D. R.; Yeoman, M. S.; Bright, K.; Kaye, I.; Burke, J. F.; Benjamin, P. R. (1995)
      We are interested in analysing the detailed modulation of defined neuronal systems by multiple neuropeptides encoded in the FMRFamide locus of the snail Lymnaea. Cloning of the FMRFamide gene has predicted the existence ...

    • Article  

      Integrator or coincidence detector: A novel measure based on the discrete reverse correlation to determine a Neuron's operational mode 

      Kanev, J.; Koutsou, Achilleas; Christodoulou, Chris C.; Obermayer, K. (2016)
      In this letter, we propose a definition of the operational mode of a neuron, that is, whether a neuron integrates over its input or detects coincidences. We complete the range of possible operational modes by a new mode ...

    • Article  

      KIF2β, a new kinesin superfamily protein in non-neuronal cells, is associated with lysosomes and may be implicated in their centrifugal translocation 

      Santama, Niovi; Krijnse-Ĺocker, J.; Griffiths, G.; Noda, Y.; Hirokawa, N.; Dotti, C. G. (1998)
      Lysosomes concentrate juxtanuclearly in the region around the microtubule-organizing center by interaction with microtubules. Different experimental and physiological conditions can induce these organelles to move to the ...

    • Conference Object  

      Learning laws exponential error convergence for recurrent neural networks 

      Kosmatopoulos, Elias B.; Christodoulou, Manolis A.; Ioannou, Petros A. (Publ by IEEE, 1993)
      In this paper, we propose new learning laws for adjusting the weights of recurrent high order neural networks (RHONN) when they are used to system identification problems. The main advantages of these learning laws over ...

    • 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  

      Near Poisson-type firing produced by concurrent excitation and inhibition 

      Christodoulou, Chris C.; Bugmann, G. (2000)
      The effect of inhibition on the firing variability is examined in this paper using the biologically-inspired temporal noisy-leaky integrator (TNLI) neuron model. The TNLI incorporates hyperpolarising inhibition with negative ...

    • Article  

      Neural network controlling feeding in Lymnaea stagnalis: Immunocytochemical localization of myomodulin, small cardioactive peptide, buccalin, and FMRFamide‐ related peptides 

      Santama, Niovi; Brierley, M.; Burke, J. F.; Benjamin, P. R. (1994)
      This paper investigates the distribution of four classes of neuropeptides, myomodulin, small cardioactive peptide (SCP), buccalin, and FMRFamide, in central neurons forming the network that underlies feeding behavior in ...

    • Article  

      Overexpression of the m4 and mα genes of the E(spl)-Complex antagonizes Notch mediated lateral inhibition 

      Apidianakis, Yiorgos; Nagel, A. C.; Chalkiadaki, Angeliki; Preiss, A.; Delidakis, Christos (1999)
      Intercellular signalling mediated by Notch proteins is crucial to many cell fate decisions in metazoans. Its profound effects on cell fate and proliferation require that a complex set of responses involving positive and ...

    • Article  

      Processing of the FMRFamide Precursor Protein in the Snail Lymnaea stagnalis: Characterization and Neuronal Localization of a Novel Peptide, ‘SEEPLY’ 

      Santama, Niovi; Wan Li, K.; Bright, K. E.; Yeoman, M.; Geraerts, W. P. M.; Benjamin, P. R.; Burke, J. F. (1993)
      In the pulmonate snail Lymnaea stagnalis, FMRFamide‐like neuropeptides are encoded by a multi‐exon genomic locus which is subject to regulation at the level of mRNA splicing. We aim to understand the post‐translational ...

    • Article  

      A review on the stochastic firing behaviour of real neurons and how it can be modelled 

      Christodoulou, Chris C.; Clarkson, T. (1995)
      The types of spike trains recorded in real neurons from different parts of the brain, can either be completely random or bursty. Certainly, at very, high firing rates regular spike trains are observed. This paper examines ...

    • 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  

      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 ...

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