Learning without feedback: detection, quantification and implications of implicit learning
| dc.contributor.author | Luehr, Stephen J.C. | |
| dc.contributor.supervisor | Krigolson, Olav E. | |
| dc.contributor.supervisor | Krawitz, Adam | |
| dc.date.accessioned | 2018-09-05T00:10:19Z | |
| dc.date.available | 2018-09-05T00:10:19Z | |
| dc.date.copyright | 2018 | en_US |
| dc.date.issued | 2018-09-04 | |
| dc.degree.department | Interdisciplinary Graduate Program | |
| dc.degree.department | School of Exercise Science, Physical and Health Education | |
| dc.degree.department | Department of Psychology | |
| dc.degree.level | Master of Science M.Sc. | en_US |
| dc.description.abstract | Mounting evidence has suggested that structures such as the anterior cingulate cortex (ACC) and other areas within the medial-frontal cortex are part of a reinforcement learning system responsible for the optimization of behaviour (Holroyd & Coles, 2002). However, we also learn without reinforcement and it has been less clear what neural structures are recruited in these instances. The P300 component of the human event-related brain potential (ERP) has been intensely researched in regards to context updating and the processing of novel stimuli (Spencer, Dien, & Donchin, 2001). Here, I sought to elaborate on the role of the P300 ERP component in implicit learning of stimulus frequencies – learning driven by the stimulus itself and not reward feedback. I propose over the course of three experiments that I have provided evidence indicating that the P300 and its neural sources play a role in feedback-free learning mechanisms. Specifically, in a feedback-free paradigm participants are shown to learn stimulus frequencies. While this occurs, P300 amplitude scales in line with participant behaviour and stimulus frequency. A common trend is revealed in how quickly this amplitude scaling occurs, suggesting further mechanisms are at play. Trial-by-trial analysis ultimately shows that behavioural prediction error formula and neural correlate prediction errors utilize a nearly identical function. These trends hold even in a passive auditory task in which the participant is fully distracted. | en_US |
| dc.description.scholarlevel | Graduate | en_US |
| dc.identifier.uri | http://hdl.handle.net/1828/10031 | |
| dc.language | English | eng |
| dc.language.iso | en | en_US |
| dc.rights | Available to the World Wide Web | en_US |
| dc.subject | neuroscience | en_US |
| dc.subject | electroencephalography | en_US |
| dc.subject | event-related potentials | en_US |
| dc.subject | learning | en_US |
| dc.subject | trial-by-trial | en_US |
| dc.subject | implicit learning | en_US |
| dc.title | Learning without feedback: detection, quantification and implications of implicit learning | en_US |
| dc.type | Thesis | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Luehr_Stephen_MSc_2018.pdf
- Size:
- 2.85 MB
- Format:
- Adobe Portable Document Format
- Description:
- Luehr_Stephen_MSc_2018
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: