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Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model

London, M.; Larkum, M.E.; Häusser, M.; (2008) Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model. Biological Cybernetics , 99 (4-5) pp. 393-401. 10.1007/s00422-008-0268-3. Green open access

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Abstract

Synaptic information efficacy (SIE) is a statistical measure to quantify the efficacy of a synapse. It measures how much information is gained, on the average, about the output spike train of a postsynaptic neuron if the input spike train is known. It is a particularly appropriate measure for assessing the input–output relationship of neurons receiving dynamic stimuli. Here, we compare the SIE of simulated synaptic inputs measured experimentally in layer 5 cortical pyramidal neurons in vitro with the SIE computed from a minimal model constructed to fit the recorded data. We show that even with a simple model that is far from perfect in predicting the precise timing of the output spikes of the real neuron, the SIE can still be accurately predicted. This arises from the ability of the model to predict output spikes influenced by the input more accurately than those driven by the background current. This indicates that in this context, some spikes may be more important than others. Lastly we demonstrate another aspect where using mutual information could be beneficial in evaluating the quality of a model, by measuring the mutual information between the model’s output and the neuron’s output. The SIE, thus, could be a useful tool for assessing the quality of models of single neurons in preserving input–output relationship, a property that becomes crucial when we start connecting these reduced models to construct complex realistic neuronal networks.

Type: Article
Title: Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s00422-008-0268-3
Publisher version: http://dx.doi.org/10.1007/s00422-008-0268-3
Language: English
Additional information: © The Authors 2008. This article is published with open access at Springerlink.com The article is reproduced here under the terms of the Creative Commons Attribution Noncommercial License, which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited, please see http://creativecommons.org/licenses/by-nc/2.5
Keywords: Synaptic information efficacy, linear integrate-and-fire model, predicting every spike, layer 5 cortical pyramidal neuron
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Wolfson Inst for Biomedical Research
URI: https://discovery.ucl.ac.uk/id/eprint/20048
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