Distinguishing the causes of firing with the membrane potential slope. (2024)

Koutsou, A., Christodoulou, C., Bugmann, G., & Kanev, J. (2012). Distinguishing the causes of firing with the membrane potential slope. Neural Comput, 24(9), 2318-2345. https://doi.org/10.1162/NECO_a_00323

Koutsou, Achilleas ; Christodoulou, Chris ; Bugmann, Guido et al. / Distinguishing the causes of firing with the membrane potential slope. In: Neural Comput. 2012 ; Vol. 24, No. 9. pp. 2318-2345.

@article{79445b2830b54125abc87de97d7c753c,

title = "Distinguishing the causes of firing with the membrane potential slope.",

abstract = "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 in an ensemble of neurons whose firing drives a single postsynaptic cell. This is accomplished by studying the effects of synchronous inputs on the membrane potential slope of the neuron and estimating the degree of response-relevant input synchrony, which determines the neuron's operational mode. The measure is calculated using the normalized slope of the membrane potential prior to the spikes fired by a neuron, and we demonstrate that it is able to distinguish between the two operational modes. By applying this measure to the membrane potential time course of a leaky integrate-and-fire neuron with the partial somatic reset mechanism, which has been shown to be the most likely candidate to reflect the mechanism used in the brain for reproducing the highly irregular firing at high rates, we show that the partial reset model operates as a temporal integrator of incoming excitatory postsynaptic potentials and that coincidence detection is not necessary for producing such high irregular firing.",

keywords = "Animals, Computer Simulation, Humans, Mathematics, Membrane Potentials, Models, Neurological, Neural Networks (Computer), Neurons, Time Factors",

author = "Achilleas Koutsou and Chris Christodoulou and Guido Bugmann and Jacob Kanev",

year = "2012",

month = sep,

day = "1",

doi = "10.1162/NECO_a_00323",

language = "English",

volume = "24",

pages = "2318--2345",

journal = "Neural Comput",

issn = "1530-888X",

number = "9",

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Koutsou, A, Christodoulou, C, Bugmann, G & Kanev, J 2012, 'Distinguishing the causes of firing with the membrane potential slope.', Neural Comput, vol. 24, no. 9, pp. 2318-2345. https://doi.org/10.1162/NECO_a_00323

Distinguishing the causes of firing with the membrane potential slope. / Koutsou, Achilleas; Christodoulou, Chris; Bugmann, Guido et al.
In: Neural Comput, Vol. 24, No. 9, 01.09.2012, p. 2318-2345.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Distinguishing the causes of firing with the membrane potential slope.

AU - Koutsou, Achilleas

AU - Christodoulou, Chris

AU - Bugmann, Guido

AU - Kanev, Jacob

PY - 2012/9/1

Y1 - 2012/9/1

N2 - 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 in an ensemble of neurons whose firing drives a single postsynaptic cell. This is accomplished by studying the effects of synchronous inputs on the membrane potential slope of the neuron and estimating the degree of response-relevant input synchrony, which determines the neuron's operational mode. The measure is calculated using the normalized slope of the membrane potential prior to the spikes fired by a neuron, and we demonstrate that it is able to distinguish between the two operational modes. By applying this measure to the membrane potential time course of a leaky integrate-and-fire neuron with the partial somatic reset mechanism, which has been shown to be the most likely candidate to reflect the mechanism used in the brain for reproducing the highly irregular firing at high rates, we show that the partial reset model operates as a temporal integrator of incoming excitatory postsynaptic potentials and that coincidence detection is not necessary for producing such high irregular firing.

AB - 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 in an ensemble of neurons whose firing drives a single postsynaptic cell. This is accomplished by studying the effects of synchronous inputs on the membrane potential slope of the neuron and estimating the degree of response-relevant input synchrony, which determines the neuron's operational mode. The measure is calculated using the normalized slope of the membrane potential prior to the spikes fired by a neuron, and we demonstrate that it is able to distinguish between the two operational modes. By applying this measure to the membrane potential time course of a leaky integrate-and-fire neuron with the partial somatic reset mechanism, which has been shown to be the most likely candidate to reflect the mechanism used in the brain for reproducing the highly irregular firing at high rates, we show that the partial reset model operates as a temporal integrator of incoming excitatory postsynaptic potentials and that coincidence detection is not necessary for producing such high irregular firing.

KW - Animals

KW - Computer Simulation

KW - Humans

KW - Mathematics

KW - Membrane Potentials

KW - Models

KW - Neurological

KW - Neural Networks (Computer)

KW - Neurons

KW - Time Factors

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DO - 10.1162/NECO_a_00323

M3 - Article

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VL - 24

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JO - Neural Comput

JF - Neural Comput

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Koutsou A, Christodoulou C, Bugmann G, Kanev J. Distinguishing the causes of firing with the membrane potential slope. Neural Comput. 2012 Sept 1;24(9):2318-2345. doi: 10.1162/NECO_a_00323