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Correlations between EEG signal components and ACT-R modules in Associative Recognition

Sijbring, D. (2016) Correlations between EEG signal components and ACT-R modules in Associative Recognition. Bachelor's Thesis, Artificial Intelligence.

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Since to date there is only limited data on the relation between ACT-R and EEG activity, we investigated whether the activations of ACT-R's modules were correlated with EEG activity in specific sets of electrodes during an associative recognition task. In this task, subjects had to learn sets of word pairs and correctly recall whether they had encountered word pairs presented in the testing phase before or not. A cognitive model was made in ACT-R that simulated the recall process, which consists of a perception, associative retrieval, decision and a response stage. We then examined whether there was any relation between the activation of these different modules and the set of EEG channels by means of logistic regression. Regression coefficients yielded from the logistic regression show positive and negative correlations for the EEG channels per module, and their implications for human information processing are discussed. Also, differences in ERP waveforms for these channels with respect to the task conditions are outlined and discussed.

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 08:14
Last Modified: 15 Feb 2018 08:14

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