Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture

Elisa Capecci; Josafath I. Espinosa-Ramos; Nadia Mammone; Nikola Kasabov; Jonas Duun-Henriksen; Troels Wesenberg Kjaer; Maurizio Campolo; Fabio La Foresta; Francesco C. Morabito

doi:10.1109/IJCNN.2015.7280764

Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture

Elisa Capecci, Josafath I. Espinosa-Ramos, Nadia Mammone, Nikola Kasabov, Jonas Duun-Henriksen, Troels Wesenberg Kjaer, Maurizio Campolo, Fabio La Foresta, Francesco C. Morabito

Neurologisk Afdeling

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag › Forskning › peer review

Abstract

Epilepsy is the most diffuse brain disorder that can affect people's lives even on its early stage. In this paper, we used for the first time the spiking neural networks (SNN) framework called NeuCube for the analysis of electroencephalography (EEG) data recorded from a person affected by Absence Epileptic (AE), using permutation entropy (PE) features. Our results demonstrated that the methodology constitutes a valuable tool for the analysis and understanding of functional changes in the brain in term of its spiking activity and connectivity. Future applications of the model aim at personalised modelling of epileptic data for the analysis and the event prediction.

Originalsprog	Engelsk
Titel	2015 International Joint Conference on Neural Networks, IJCNN 2015
Forlag	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronisk)	9781479919604, 9781479919604, 9781479919604, 9781479919604
DOI	https://doi.org/10.1109/IJCNN.2015.7280764
Status	Udgivet - 28 sep. 2015
Begivenhed	International Joint Conference on Neural Networks, IJCNN 2015 - Killarney, Irland Varighed: 12 jul. 2015 → 17 jul. 2015

Publikationsserier

Navn	Proceedings of the International Joint Conference on Neural Networks
Vol/bind	2015-September

Konference

Konference	International Joint Conference on Neural Networks, IJCNN 2015
Land/Område	Irland
By	Killarney
Periode	12/07/15 → 17/07/15

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Citationsformater

Capecci, E., Espinosa-Ramos, J. I., Mammone, N., Kasabov, N., Duun-Henriksen, J., Kjaer, T. W., Campolo, M., La Foresta, F., & Morabito, F. C. (2015). Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture. I 2015 International Joint Conference on Neural Networks, IJCNN 2015 [7280764] (Proceedings of the International Joint Conference on Neural Networks; Bind 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2015.7280764

Capecci, Elisa ; Espinosa-Ramos, Josafath I. ; Mammone, Nadia ; Kasabov, Nikola ; Duun-Henriksen, Jonas ; Kjaer, Troels Wesenberg ; Campolo, Maurizio ; La Foresta, Fabio ; Morabito, Francesco C. / Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture. 2015 International Joint Conference on Neural Networks, IJCNN 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (Proceedings of the International Joint Conference on Neural Networks).

@inproceedings{022dce5ec3ba43c5b94840d503900d6a,

title = "Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture",

abstract = "Epilepsy is the most diffuse brain disorder that can affect people's lives even on its early stage. In this paper, we used for the first time the spiking neural networks (SNN) framework called NeuCube for the analysis of electroencephalography (EEG) data recorded from a person affected by Absence Epileptic (AE), using permutation entropy (PE) features. Our results demonstrated that the methodology constitutes a valuable tool for the analysis and understanding of functional changes in the brain in term of its spiking activity and connectivity. Future applications of the model aim at personalised modelling of epileptic data for the analysis and the event prediction.",

keywords = "Childhood Absence Seizures, EEG, Epilepsy, NeuCube, Spiking Neural Networks",

author = "Elisa Capecci and Espinosa-Ramos, {Josafath I.} and Nadia Mammone and Nikola Kasabov and Jonas Duun-Henriksen and Kjaer, {Troels Wesenberg} and Maurizio Campolo and {La Foresta}, Fabio and Morabito, {Francesco C.}",

year = "2015",

month = sep,

day = "28",

doi = "10.1109/IJCNN.2015.7280764",

language = "English",

series = "Proceedings of the International Joint Conference on Neural Networks",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 International Joint Conference on Neural Networks, IJCNN 2015",

address = "United States",

note = "International Joint Conference on Neural Networks, IJCNN 2015 ; Conference date: 12-07-2015 Through 17-07-2015",

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Capecci, E, Espinosa-Ramos, JI, Mammone, N, Kasabov, N, Duun-Henriksen, J, Kjaer, TW, Campolo, M, La Foresta, F & Morabito, FC 2015, Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture. i 2015 International Joint Conference on Neural Networks, IJCNN 2015., 7280764, Proceedings of the International Joint Conference on Neural Networks, bind 2015-September, Institute of Electrical and Electronics Engineers Inc., International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Irland, 12/07/15. https://doi.org/10.1109/IJCNN.2015.7280764

Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture. / Capecci, Elisa; Espinosa-Ramos, Josafath I.; Mammone, Nadia; Kasabov, Nikola; Duun-Henriksen, Jonas; Kjaer, Troels Wesenberg; Campolo, Maurizio; La Foresta, Fabio; Morabito, Francesco C.

2015 International Joint Conference on Neural Networks, IJCNN 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7280764 (Proceedings of the International Joint Conference on Neural Networks; Bind 2015-September).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag › Forskning › peer review

TY - GEN

T1 - Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture

AU - Capecci, Elisa

AU - Espinosa-Ramos, Josafath I.

AU - Mammone, Nadia

AU - Kasabov, Nikola

AU - Duun-Henriksen, Jonas

AU - Kjaer, Troels Wesenberg

AU - Campolo, Maurizio

AU - La Foresta, Fabio

AU - Morabito, Francesco C.

PY - 2015/9/28

Y1 - 2015/9/28

N2 - Epilepsy is the most diffuse brain disorder that can affect people's lives even on its early stage. In this paper, we used for the first time the spiking neural networks (SNN) framework called NeuCube for the analysis of electroencephalography (EEG) data recorded from a person affected by Absence Epileptic (AE), using permutation entropy (PE) features. Our results demonstrated that the methodology constitutes a valuable tool for the analysis and understanding of functional changes in the brain in term of its spiking activity and connectivity. Future applications of the model aim at personalised modelling of epileptic data for the analysis and the event prediction.

AB - Epilepsy is the most diffuse brain disorder that can affect people's lives even on its early stage. In this paper, we used for the first time the spiking neural networks (SNN) framework called NeuCube for the analysis of electroencephalography (EEG) data recorded from a person affected by Absence Epileptic (AE), using permutation entropy (PE) features. Our results demonstrated that the methodology constitutes a valuable tool for the analysis and understanding of functional changes in the brain in term of its spiking activity and connectivity. Future applications of the model aim at personalised modelling of epileptic data for the analysis and the event prediction.

KW - Childhood Absence Seizures

KW - EEG

KW - Epilepsy

KW - NeuCube

KW - Spiking Neural Networks

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DO - 10.1109/IJCNN.2015.7280764

M3 - Conference contribution

AN - SCOPUS:84951105972

T3 - Proceedings of the International Joint Conference on Neural Networks

BT - 2015 International Joint Conference on Neural Networks, IJCNN 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Joint Conference on Neural Networks, IJCNN 2015

Y2 - 12 July 2015 through 17 July 2015

ER -

Capecci E, Espinosa-Ramos JI, Mammone N, Kasabov N, Duun-Henriksen J, Kjaer TW et al. Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture. I 2015 International Joint Conference on Neural Networks, IJCNN 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7280764. (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2015.7280764

Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture

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