Ögütcen, Melih YılmazKocatürk, MehmetOkatan, Murat2022-02-252022-02-252021Ögütcen, M. Y., Kocatürk, M. ve Okatan, M. (2021). A python code for maximum likelihood estimation of the location and scale parameters of the truncated normal distribution. Medical Technologies Congress, TIPTEKNO, Antalya, Turkey, 4-6 November 2021. https://doi.org/10.1109/TIPTEKNO53239.2021.96329559781665436632https://doi.org/10.1109/TIPTEKNO53239.2021.9632955https://hdl.handle.net/20.500.12511/9007Extracellular 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.eninfo:eu-repo/semantics/embargoedAccessMaximum Likelihood EstimationPython CodeTruncated Normal DistributionTruncation ThresholdsConference Object10.1109/TIPTEKNO53239.2021.9632955N/A2-s2.0-85123709914N/A