Gerova, Mihaela (2018) Comparing Different Approaches for Delineating Hidden States in Brain Dynamics During Associative Recognition Memory. Bachelor's Thesis, Artificial Intelligence.
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Abstract
One of the main questions theories of associative recognition impose is whether there is one or two qualitatively distinct memory processes between encoding of the stimuli and the response. Therefore, identifying processing stages could give valuable information about the cognitive processes involved. In this paper a novel method developed by Vidaurre et al. (2016) is applied to EEG data from associative recognition memory to identify the processing stages with regard to this task. Three alternatives for an observation model within this method have been explored and the results are compared to previous findings, where a combination of Hidden semi-Markov Model and Multivariate Pattern Analysis (Anderson et al., 2016) has been applied to the same data. The current analysis indicates the effect of word’s associative strength is distributed over three processing stages, while previous findings suggest this effect is localized in a single cognitive stage
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Borst, J.P. and Portoles Marin, O. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 13 Mar 2018 |
| Last Modified: | 14 Mar 2018 12:31 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/16555 |
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