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Data-driven study of synchronous population activity in generic spiking neuronal networks: How much do we capture using the minimal model for the considered phenomena?

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Data-driven study of synchronous population activity in generic spiking neuronal networks: How much do we capture using the minimal model for the considered phenomena? / Acimovic, Jugoslava; Teppola, Heidi; Mäki-Marttunen, Tuomo Mikael; Linne, Marja-Leena.

In: BMC Neuroscience, Vol. 19, No. Suppl 2, 29.10.2018, p. 68-69.

Research output: Contribution to journalMeeting AbstractScientificpeer-review

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@article{ddc97261bc1c43f299425120a8449e91,
title = "Data-driven study of synchronous population activity in generic spiking neuronal networks: How much do we capture using the minimal model for the considered phenomena?",
keywords = "spiking neuronal network, neuronal activity, spontaneous activity, data-driven computational model, model fitting, short-term synaptic dynamics",
author = "Jugoslava Acimovic and Heidi Teppola and M{\"a}ki-Marttunen, {Tuomo Mikael} and Marja-Leena Linne",
year = "2018",
month = "10",
day = "29",
language = "English",
volume = "19",
pages = "68--69",
journal = "BMC Neuroscience",
issn = "1471-2202",
publisher = "Springer Verlag",
number = "Suppl 2",

}

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TY - JOUR

T1 - Data-driven study of synchronous population activity in generic spiking neuronal networks: How much do we capture using the minimal model for the considered phenomena?

AU - Acimovic, Jugoslava

AU - Teppola, Heidi

AU - Mäki-Marttunen, Tuomo Mikael

AU - Linne, Marja-Leena

PY - 2018/10/29

Y1 - 2018/10/29

KW - spiking neuronal network

KW - neuronal activity

KW - spontaneous activity

KW - data-driven computational model

KW - model fitting

KW - short-term synaptic dynamics

M3 - Meeting Abstract

VL - 19

SP - 68

EP - 69

JO - BMC Neuroscience

JF - BMC Neuroscience

SN - 1471-2202

IS - Suppl 2

ER -