Tracking a rat in an open field experiment with a deep learning-based model

Tracking a rat in an open field experiment with a deep learning-based model

New artificial neural network methods have changed the way animals are tracked in neuroscience and psychology experiments. The purpose of this thesis is to test the state-of-the-art method of animal tracking DeepLabCut and to develop a usable model for tracking rats in an open field type experiment,...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Kantola, Lauri
Muut tekijät: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Pro gradu
Kieli:eng
Julkaistu: 2021
Aiheet:
animal tracking
artificial neural networks
convolutional neural networks
DeepLabCut
machine vision
open field test
Tietotekniikka
Mathematical Information Technology
602
jyrsijät
rotta (laji)
neurotieteet
syväoppiminen
koneoppiminen
neuroverkot
tekoäly
ohjelmistokehitys
bonsai
videokamerat
ruhot
oppiminen
rodents
Rattus norvegicus
neurosciences
deep learning
machine learning
neural networks (information technology)
artificial intelligence
software development
video cameras
animal bodies
learning
Linkit: https://jyx.jyu.fi/handle/123456789/78556

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