2026-09-20T00:12:53.686576500Zhttps://opus.uleth.ca/server/oai/requestoai:opus.uleth.ca:10133/56852020-02-21T07:05:05Zcom_10133_3346com_10133_1com_10133_296col_10133_3347col_10133_298
ULethbridge OPUS Repository
supervisor
Tatsuno, Masami
author
Balogun, Pauline
author
University of Lethbridge. Faculty of Arts and Science
2020-02-20T16:39:03Z
2020-02-20T16:39:03Z
2019
https://hdl.handle.net/10133/5685
This project investigated whether unsupervised machine learning could detect differences in global or local microstates across different rodent brain, in the effects of procedural learning, and clustering validity indices effectiveness. Previously obtained local field potential recordings of M1 and the hippocampus of freely-behaving male rats under naïve and task conditions, including transcranial direct and alternating current stimulation (tDCS; tACS), were analyzed and used to assess several methods. Two local SWS-like REM microstates were detected along with five global microstates. Learning suppressed cortical SWS-like REM microstates, but tDCS negated this effect. Calinski-Harabasz evaluated clusters had the highest sensitivity, specificity and total accuracy. Local and global brain states were effectively detected using PCA and clustering, and measures of phase-amplitude coupling were sensitive to the task conditions. These changes could underlie consolidation windows for procedural learning with potential intervention by tDCS although these results are limited to due the quality of the dataset.
en_US
neuroscience
k-means
machine learning
hippocampus
memory
primary motor cortex
clustering
cluster validity index
PCA
behaviour
tACS
tDCS
tPAC
Hippocampus (Brain) -- Research
Memory -- Research
Motor cortex -- Research
Sleep -- Research
Sleep-wake cycle -- Research
Rats as laboratory animals
Cluster analysis -- Computer programs
Dissertations, Academic
Detection of sleep and wake substates through unsupervised machine learning in rat hippocampus and primary motor cortex LFP recordings
Thesis
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
URL
http://localhost:4000/bitstreams/31b4f22f-c77e-42b1-bd48-a649c6a2ea11/download
File
MD5
f1bac02d6c3686b4bb5d2d97bc71ca07
6621603
application/pdf
BALOGUN_PAULINE_MSC_2019.pdf
URL
http://localhost:4000/bitstreams/0af6c1c5-f534-48b2-819c-c063410d70ef/download
File
MD5
9e6160328a8f802fc75103a18c62ef7c
140939
text/plain
BALOGUN_PAULINE_MSC_2019.pdf.txt