Browsing by Author "Koutsou, Achilleas"
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Conference Object
The Difference Neuron — a new spiking Neuron Model that learns
Kanev, Jacob; Koutsou, Achilleas; Christodoulou, Chris; Obermayer, Klaus; Node, German Neuroinformatics (Bernstein Network Computational Neuroscience, 2018)
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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 ...
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Integrator or coincidence detector | what shapes the relation of stimulus synchrony and the operational mode of a neuron?
Koutsou, Achilleas; Kanev, J.; Economidou, Maria; Christodoulou, Chris C. (2016)The operational mode of a neuron (i.e., whether a neuron is an integrator or a coincidence detector) is in part determined by the degree of synchrony in the firing of its pre-synaptic neural population. More specifically, ...
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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 ...
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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 ...
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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 ...
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Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded data
Zavou, C.; Kkoushi, A.; Koutsou, Achilleas; Christodoulou, Chris C. (2017)The aim of the current work is twofold: firstly to adapt an existing method measuring the input synchrony of a neuron driven only by excitatory inputs in such a way so as to account for inhibitory inputs as well and secondly ...