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Browsing by Subject "spike wave"

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    • 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  

      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  

      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  

      On the firing variability of the integrate-and-fire neurons with partial reset in the presence of inhibition 

      Christodoulou, Chris C. (2002)
      It has been reported (Phys. Rev. Lett. 82 (1999) 4731) that the firing variability of integrate-and-fire (I&F) neurons is strongly dependent on the level of inhibitory input unlike the Hodgkin-Huxley and FitzHugh-Nagumo ...

    • 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 ...

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