Contributions of Signal-detection Mechanisms and Semantic Memory Representations to Famous Name Recognition

In past research, investigators have often used the recognition memory paradigm to study the cognitive and neural processes that permit the ability to accurately assess whether or not stimuli are familiar. This paradigm involves presenting stimuli to participants in a study phase, and examining their later recognition of them when these stimuli are subsequently presented again in a later test phase. It is not well understood, however, whether the same mechanisms that support familiarity assessment in recognition memory also support familiarity based on general life experience (e.g., recognizing a famous celebrity in daily life). To address this, I implemented modified recognition memory paradigms for the purpose of better understanding the processes that support famous name recognition. In Chapter 2, I developed a signal-detection model that describes how people discriminate between famous and fictional names. I found that similarly to recognition memory, famous name recognition relies on graded evidence that can be modeled successfully with Gaussian distributions. In Chapter 3, I studied the contributions of semantic knowledge to famous name familiarity, with a focus on recognition experiences in which ‘names ring a bell’. I revealed that despite the fact that participants understand this recognition experience to reflect situations where names are familiar but do not provoke retrieval of any related semantic details, they still achieve above-chance performance on an occupation forced-choice task for the same names. Based on these results, I investigated in Chapter 4 whether ‘name rings a bell’ experiences engage the same brain regions as those that also support the ability to successfully retrieve semantic knowledge about famous names. Using functional magnetic resonance imaging, I examined whether the brain regions that support ‘name rings a bell’ experiences overlap with those that support successful identification and correct occupation forced-choice decisions. Two brain areas that I found to be engaged during ‘name rings a bell’ responses were also engaged while participant’s successfully retrieved semantic knowledge for names, which included the left posterior middle temporal gyrus and an inferior aspect of the left ventrolateral prefrontal cortex. Overall, my thesis advances our knowledge of how feelings of familiarity for famous names relate to underlying semantic representations about them

The Suppression of Irrelevant Semantic Representations in Parkinson’s Disease

The impairment of lexical-semantic inhibition mechanisms in Parkinson’s disease (PD) remains a source of contention. In order to observe whether people with PD are able to suppress irrelevant semantic information during picture naming, the present study employed an object-based negative priming paradigm with 16 participants with PD and 13 healthy controls. The task required participants to name a red target image while ignoring a superimposed, green distractor image. The semantic relationship between the distractor image and the target image of the subsequent trial was manipulated, such that the distractor image was identical, semantically related, or semantically unrelated to said target image. The PD group and the control group were slower in naming a target image that had previously served as a distractor image, relative to naming a target image that was unrelated to the previous distractor image. Thus, a negative priming effect was present in both groups. Furthermore, no significant difference in the magnitude of this effect was observed between the control and PD groups. When considered in the context of existing literature surrounding negative priming in PD, these results suggest that inhibition is subserved by multiple, domain-specific mechanisms and that the inhibitory processing of visual-semantic stimuli is intact in PD

The predictive nature of language comprehension

This dissertation explores the hypothesis that predictive processing--the access and construction of internal representations in advance of the external input that supports them--plays a central role in language comprehension. Linguistic input is frequently noisy, variable, and rapid, but it is also subject to numerous constraints. Predictive processing could be a particularly useful approach in language comprehension, as predictions based on the constraints imposed by the prior context could allow computation to be speeded and noisy input to be disambiguated. Decades of previous research have demonstrated that the broader sentence context has an effect on how new input is processed, but less progress has been made in determining the mechanisms underlying such contextual effects. This dissertation is aimed at advancing this second goal, by using both behavioral and neurophysiological methods to motivate predictive or top-down interpretations of contextual effects and to test particular hypotheses about the nature of the predictive mechanisms in question. The first part of the dissertation focuses on the lexical-semantic predictions made possible by word and sentence contexts. MEG and fMRI experiments, in conjunction with a meta-analysis of the previous neuroimaging literature, support the claim that an ERP effect classically observed in response to contextual manipulations--the N400 effect--reflects facilitation in processing due to lexical-semantic predictions, and that these predictions are realized at least in part through top-down changes in activity in left posterior middle temporal cortex, the cortical region thought to represent lexical-semantic information in long-term memory,. The second part of the dissertation focuses on syntactic predictions. ERP and reaction time data suggest that the syntactic requirements of the prior context impacts processing of the current input very early, and that predicting the syntactic position in which the requirements can be fulfilled may allow the processor to avoid a retrieval mechanism that is prone to similarity-based interference errors. In sum, the results described here are consistent with the hypothesis that a significant amount of language comprehension takes place in advance of the external input, and suggest future avenues of investigation towards understanding the mechanisms that make this possible

Change blindness: eradication of gestalt strategies

Arrays of eight, texture-defined rectangles were used as stimuli in a one-shot change blindness (CB) task where there was a 50% chance that one rectangle would change orientation between two successive presentations separated by an interval. CB was eliminated by cueing the target rectangle in the first stimulus, reduced by cueing in the interval and unaffected by cueing in the second presentation. This supports the idea that a representation was formed that persisted through the interval before being 'overwritten' by the second presentation (Landman et al, 2003 Vision Research 43149–164]. Another possibility is that participants used some kind of grouping or Gestalt strategy. To test this we changed the spatial position of the rectangles in the second presentation by shifting them along imaginary spokes (by ±1 degree) emanating from the central fixation point. There was no significant difference seen in performance between this and the standard task [F(1,4)=2.565, p=0.185]. This may suggest two things: (i) Gestalt grouping is not used as a strategy in these tasks, and (ii) it gives further weight to the argument that objects may be stored and retrieved from a pre-attentional store during this task

Semantic radical consistency and character transparency effects in Chinese: an ERP study

BACKGROUND: This event-related potential (ERP) study aims to investigate the representation and temporal dynamics of Chinese orthography-to-semantics mappings by simultaneously manipulating character transparency and semantic radical consistency. Character components, referred to as radicals, make up the building blocks used dur...postprin