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EEG Correlates of Learning in the Alpha-Arithmetic Task

Shouche, Prajakta (2019) EEG Correlates of Learning in the Alpha-Arithmetic Task. Bachelor's Thesis, Artificial Intelligence.

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Abstract

Learning is characterized by three phases as defined by Fitts and Posner (1967): cognitive, associative and autonomous. Previous studies on arithmetic tasks have observed these phases as well as associated cognitive stages such as encoding, solving and responding within each phase. In the current study, we were interested in finding evidence for the learning phases and corresponding stages in the EEG correlates of the alpha-arithmetic task by Zbrodoff (1995). The experiment consisted of 3 blocks of 192 trials where each trial was an alpha-arithmetic equation such as A+2=C and required the participants to respond with `yes' or `no'. We hypothesized that the EEG correlates of the task would show a discrete confirmation of three learning phases and for each phase some defined cognitive stages. Stimulus and response locked event related potentials (ERP) showed us some differences in brain activity between the 3 blocks. Additionally, a combination of Hidden Semi-Markov Models and multivariate pattern analysis (HSMM-MVPA) fitted to each block-phase confirmed the presence of different cognitive stages for each phase. Although there is evidence for learning, there are limited indicators for using counting as an initial problem solving strategy, as opposed to previous findings.

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Borst, J.P.
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 12 Jul 2019
Last Modified: 12 Jul 2019 11:50
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/20142

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