2026-05-23T17:50:33Zhttps://keep.lib.asu.edu/oai/request

oai:keep.lib.asu.edu:node-1938572024-12-19T19:04:43Zoai_pmh:alloai_pmh:repo_items

193857 https://hdl.handle.net/2286/R.2.N.193857 http://rightsstatements.org/vocab/InC/1.0/ http://creativecommons.org/licenses/by-nc-sa/4.0 2024-05 20 pages Ager, Katrina McClure, Samuel Brewer, Gene Barrett, The Honors College Department of Psychology Text The InceptionTime model is a tool modified for time series regression. For the first time in history, Read Montague’s lab at Virginia Tech has developed methods to measure neurotransmitters in the human brain using InceptionTime to analyze fast-scan cyclic voltammetry (FSCV) data. FSCV has been around for decades and has been previously used to study concentrations of the neurotransmitter dopamine. However, unlike older analysis techniques such as principal component regression, InceptionTime can distinguish between catecholamines such as dopamine, norepinephrine, and serotonin, thereby vastly increasing FSCV’s utility. This paper serves as an investigation of the InceptionTime model, its applications in FSCV experiments, and provides information about electrochemical concepts that are integral in understanding the value of this research. Machine learning Neural Networks measuring neurotransmitters fast scan cyclic voltammetry InceptionTime The InceptionTime Model for Measuring Neurotransmitters in the Human Brain