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 | |
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.
Keywords
- maximum likelihood estimation
- python code
- truncated Normal distribution
- truncation thresholds