A Python Code for Maximum Likelihood Estimation of the Location and Scale Parameters of the Truncated Normal Distribution

Melih Yilmaz Ogutcen; Mehmet Kocaturk; Murat Okatan

doi:10.1109/TIPTEKNO53239.2021.9632955

A Python Code for Maximum Likelihood Estimation of the Location and Scale Parameters of the Truncated Normal Distribution

Melih Yilmaz Ogutcen, Mehmet Kocaturk, Murat Okatan

Informatics Institute

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

Abstract

Extracellular neural recordings obtained from chronically implanted microelectrode arrays are widely used in behavioral neurophysiology and invasive brain-machine interfaces. After the raw recordings are band-pass filtered within a frequency band suitable for spike detection, spikes are often detected by amplitude thresholding. Developing principled methods for computing amplitude thresholds is an active research area. 'Truncation thresholds' are a pair of amplitude thresholds that are computed using a recently proposed algorithm. As part of an effort that aims to integrate this algorithm into a real-Time data acquisition and spike detection system, here we present a Python code for maximum likelihood estimation of the location and scale parameters of the truncated Normal distribution, which is one of the steps involved in the computation of truncation thresholds.

Original language	English
Title of host publication	TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665436632
DOIs	https://doi.org/10.1109/TIPTEKNO53239.2021.9632955
Publication status	Published - 2021
Event	2021 Medical Technologies Congress, TIPTEKNO 2021 - Antalya, Turkey Duration: 4 Nov 2021 → 6 Nov 2021

Publication series

Name	TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress

Conference

Conference	2021 Medical Technologies Congress, TIPTEKNO 2021
Country/Territory	Turkey
City	Antalya
Period	4/11/21 → 6/11/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Funding

This work was supported by Research Fund of the Istanbul Technical University. Project Number: MAB-2020-42808.

Funders	Funder number
Istanbul Teknik Üniversitesi	MAB-2020-42808

Keywords

maximum likelihood estimation
python code
truncated Normal distribution
truncation thresholds

Access to Document

10.1109/TIPTEKNO53239.2021.9632955

Cite this

Ogutcen, M. Y., Kocaturk, M., & Okatan, M. (2021). A Python Code for Maximum Likelihood Estimation of the Location and Scale Parameters of the Truncated Normal Distribution. In TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress (TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TIPTEKNO53239.2021.9632955

Ogutcen, Melih Yilmaz ; Kocaturk, Mehmet ; Okatan, Murat. / A Python Code for Maximum Likelihood Estimation of the Location and Scale Parameters of the Truncated Normal Distribution. TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress. Institute of Electrical and Electronics Engineers Inc., 2021. (TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress).

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abstract = "Extracellular neural recordings obtained from chronically implanted microelectrode arrays are widely used in behavioral neurophysiology and invasive brain-machine interfaces. After the raw recordings are band-pass filtered within a frequency band suitable for spike detection, spikes are often detected by amplitude thresholding. Developing principled methods for computing amplitude thresholds is an active research area. 'Truncation thresholds' are a pair of amplitude thresholds that are computed using a recently proposed algorithm. As part of an effort that aims to integrate this algorithm into a real-Time data acquisition and spike detection system, here we present a Python code for maximum likelihood estimation of the location and scale parameters of the truncated Normal distribution, which is one of the steps involved in the computation of truncation thresholds.",

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Ogutcen, MY, Kocaturk, M & Okatan, M 2021, A Python Code for Maximum Likelihood Estimation of the Location and Scale Parameters of the Truncated Normal Distribution. in TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress. TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress, Institute of Electrical and Electronics Engineers Inc., 2021 Medical Technologies Congress, TIPTEKNO 2021, Antalya, Turkey, 4/11/21. https://doi.org/10.1109/TIPTEKNO53239.2021.9632955

A Python Code for Maximum Likelihood Estimation of the Location and Scale Parameters of the Truncated Normal Distribution. / Ogutcen, Melih Yilmaz; Kocaturk, Mehmet; Okatan, Murat.
TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress. Institute of Electrical and Electronics Engineers Inc., 2021. (TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress).

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

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AB - Extracellular neural recordings obtained from chronically implanted microelectrode arrays are widely used in behavioral neurophysiology and invasive brain-machine interfaces. After the raw recordings are band-pass filtered within a frequency band suitable for spike detection, spikes are often detected by amplitude thresholding. Developing principled methods for computing amplitude thresholds is an active research area. 'Truncation thresholds' are a pair of amplitude thresholds that are computed using a recently proposed algorithm. As part of an effort that aims to integrate this algorithm into a real-Time data acquisition and spike detection system, here we present a Python code for maximum likelihood estimation of the location and scale parameters of the truncated Normal distribution, which is one of the steps involved in the computation of truncation thresholds.

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Ogutcen MY, Kocaturk M, Okatan M. A Python Code for Maximum Likelihood Estimation of the Location and Scale Parameters of the Truncated Normal Distribution. In TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress. Institute of Electrical and Electronics Engineers Inc. 2021. (TIPTEKNO 2021 - Tip Teknolojileri Kongresi - 2021 Medical Technologies Congress). doi: 10.1109/TIPTEKNO53239.2021.9632955

A Python Code for Maximum Likelihood Estimation of the Location and Scale Parameters of the Truncated Normal Distribution

Abstract

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Bibliographical note

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Keywords

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