Hücre dişi sinirsel kayitlarda farkli genlik eşiklerinin karşilaştirilmasi

Eda Dagdevir; Mehmet Kocaturk; Murat Okatan

doi:10.1109/SIU.2019.8806588

Hücre dişi sinirsel kayitlarda farkli genlik eşiklerinin karşilaştirilmasi

Translated title of the contribution: Comparing different amplitude thresholds in extracellular neural recordings

Eda Dagdevir, Mehmet Kocaturk, Murat Okatan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Amplitude thresholds are used in extracting information from extracellular neural recordings. While the amplitude threshold may be estimated by ensuring that behavioral variables are encoded in neural activity with maximum signal-to-noise ratio, it can also be estimated by maximum likelihood. Here, these two types of threshold are estimated using extracellular recordings collected from the motor cortex (M1) of two rats performing a well-learned visuomotor task and the estimates are compared. The results show that these two types of threshold are not significantly different. On the other hand, the width of the confidence interval of the maximum likelihood estimate is found to be related to decoding accuracy. These results are important for determining appropriate amplitude thresholds to be used in brain-machine interfaces.

Translated title of the contribution	Comparing different amplitude thresholds in extracellular neural recordings
Original language	Turkish
Title of host publication	27th Signal Processing and Communications Applications Conference, SIU 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728119045
DOIs	https://doi.org/10.1109/SIU.2019.8806588
Publication status	Published - Apr 2019
Externally published	Yes
Event	27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey Duration: 24 Apr 2019 → 26 Apr 2019

Publication series

Name	27th Signal Processing and Communications Applications Conference, SIU 2019

Conference

Conference	27th Signal Processing and Communications Applications Conference, SIU 2019
Country/Territory	Turkey
City	Sivas
Period	24/04/19 → 26/04/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Access to Document

10.1109/SIU.2019.8806588

Cite this

Dagdevir, E., Kocaturk, M., & Okatan, M. (2019). Hücre dişi sinirsel kayitlarda farkli genlik eşiklerinin karşilaştirilmasi. In 27th Signal Processing and Communications Applications Conference, SIU 2019 Article 8806588 (27th Signal Processing and Communications Applications Conference, SIU 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2019.8806588

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abstract = "Amplitude thresholds are used in extracting information from extracellular neural recordings. While the amplitude threshold may be estimated by ensuring that behavioral variables are encoded in neural activity with maximum signal-to-noise ratio, it can also be estimated by maximum likelihood. Here, these two types of threshold are estimated using extracellular recordings collected from the motor cortex (M1) of two rats performing a well-learned visuomotor task and the estimates are compared. The results show that these two types of threshold are not significantly different. On the other hand, the width of the confidence interval of the maximum likelihood estimate is found to be related to decoding accuracy. These results are important for determining appropriate amplitude thresholds to be used in brain-machine interfaces.",

keywords = "Computational neuroscience, Generalized linear models, Spike train analysis",

author = "Eda Dagdevir and Mehmet Kocaturk and Murat Okatan",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 27th Signal Processing and Communications Applications Conference, SIU 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

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Dagdevir, E, Kocaturk, M & Okatan, M 2019, Hücre dişi sinirsel kayitlarda farkli genlik eşiklerinin karşilaştirilmasi. in 27th Signal Processing and Communications Applications Conference, SIU 2019., 8806588, 27th Signal Processing and Communications Applications Conference, SIU 2019, Institute of Electrical and Electronics Engineers Inc., 27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Turkey, 24/04/19. https://doi.org/10.1109/SIU.2019.8806588

Hücre dişi sinirsel kayitlarda farkli genlik eşiklerinin karşilaştirilmasi. / Dagdevir, Eda; Kocaturk, Mehmet; Okatan, Murat.
27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8806588 (27th Signal Processing and Communications Applications Conference, SIU 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hücre dişi sinirsel kayitlarda farkli genlik eşiklerinin karşilaştirilmasi

AU - Dagdevir, Eda

AU - Kocaturk, Mehmet

AU - Okatan, Murat

PY - 2019/4

Y1 - 2019/4

N2 - Amplitude thresholds are used in extracting information from extracellular neural recordings. While the amplitude threshold may be estimated by ensuring that behavioral variables are encoded in neural activity with maximum signal-to-noise ratio, it can also be estimated by maximum likelihood. Here, these two types of threshold are estimated using extracellular recordings collected from the motor cortex (M1) of two rats performing a well-learned visuomotor task and the estimates are compared. The results show that these two types of threshold are not significantly different. On the other hand, the width of the confidence interval of the maximum likelihood estimate is found to be related to decoding accuracy. These results are important for determining appropriate amplitude thresholds to be used in brain-machine interfaces.

AB - Amplitude thresholds are used in extracting information from extracellular neural recordings. While the amplitude threshold may be estimated by ensuring that behavioral variables are encoded in neural activity with maximum signal-to-noise ratio, it can also be estimated by maximum likelihood. Here, these two types of threshold are estimated using extracellular recordings collected from the motor cortex (M1) of two rats performing a well-learned visuomotor task and the estimates are compared. The results show that these two types of threshold are not significantly different. On the other hand, the width of the confidence interval of the maximum likelihood estimate is found to be related to decoding accuracy. These results are important for determining appropriate amplitude thresholds to be used in brain-machine interfaces.

KW - Computational neuroscience

KW - Generalized linear models

KW - Spike train analysis

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DO - 10.1109/SIU.2019.8806588

M3 - Konferans katkısı

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T3 - 27th Signal Processing and Communications Applications Conference, SIU 2019

BT - 27th Signal Processing and Communications Applications Conference, SIU 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Dagdevir E, Kocaturk M, Okatan M. Hücre dişi sinirsel kayitlarda farkli genlik eşiklerinin karşilaştirilmasi. In 27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8806588. (27th Signal Processing and Communications Applications Conference, SIU 2019). doi: 10.1109/SIU.2019.8806588

Hücre dişi sinirsel kayitlarda farkli genlik eşiklerinin karşilaştirilmasi

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