Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/42949
Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Informatika / Computer science (N009)
Author(s): Graham, Bruce P;Saudargienė, Aušra;Cobb, Stuart
Title: Spine head calcium as a measure of summed postsynaptic activity for driving synaptic plasticity
Is part of: Neural computation. Cambridge, Mass. : MIT Press, 2014, vol. 26, no. 10
Extent: p. 2194-2222
Date: 2014
Keywords: Spine head calcium;Postsynaptic activity;Synaptic plasticity
Abstract: We use a computational model of a hippocampal CA1 pyramidal cell to demonstrate that spine head calcium provides an instantaneous readout at each synapse of the postsynaptic weighted sum of all presynaptic activity impinging on the cell. The form of the readout is equivalent to the functions of weighted, summed inputs used in neural network learning rules. Within a dendritic layer, peak spine head calcium levels are either a linear or sigmoidal function of the number of coactive synapses, with nonlinearity depending on the ability of voltage spread in the dendrites to reach calcium spike threshold. This is strongly controlled by the potassium A-type current, with calcium spikes and the consequent sigmoidal increase in peak spine head calcium present only when the A-channel density is low. Other membrane characteristics influence the gain of the relationship between peak calcium and the number of active synapses. In particular, increasing spine neck resistance increases the gain due to increased voltage responses to synaptic input in spine heads. Colocation of stimulated synapses on a single dendritic branch also increases the gain of the response. Input pathways cooperate: CA3 inputs to the proximal apical dendrites can strongly amplify peak calcium levels due to weak EC input to the distal dendrites, but not so strongly vice versa. CA3 inputs to the basal dendrites can boost calcium levels in the proximal apical dendrites, but the relative electrical compactness of the basal dendrites results in the reverse effect being less significant. These results give pointers as to how to better describe the contributions of pre- and postsynaptic activity in the learning "rules" that apply in these cells. The calcium signal is closer in form to the activity measures used in traditional neural network learning rules than to the spike times used in spike-timing-dependent plasticity
Internet: http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00640?journalCode=neco#.VJgkCqrm4A
http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00640?journalCode=neco#.VJgkCqrm4A
Affiliation(s): Informatikos fakultetas
Taikomosios informatikos katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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