Cognitive Science Commons^™

Retrieval Information From Working Memory: The Output Gating Framework Perspective And Its Underlying Processes, Chen Tiferet-Dweck

Dissertations, Theses, and Capstone Projects

Working memory (WM) keeps information accessible and available for further processing. However, not all the information we maintain in WM is behaviorally relevant at any given moment. To act effectively, we must dynamically control which memory representations are accessed to support ongoing goal-directed behavior. While the mechanisms underlying the selection of single items from WM access are comparatively well-studied, less is known about the principles governing multi-item access. Existing models of WM access imply that selecting multiple items should take longer and be more error-prone than single-item access. Yet, paradoxically, prior studies have shown that retrieving all items in WM …

Investigating The Role Of Striatal Cholinergic Interneuron D2 Receptors In Behavioral Flexibility, Janyn J. Alfred

Dissertations, Theses, and Capstone Projects

Dopamine (DA) and acetylcholine (ACh) interact within the striatum to shape reward-based learning and choice behavior. DA D2 receptors on cholinergic interneurons (CIN D2Rs) were genetically knocked out to investigate their role in choice allocation using a two-lever matching paradigm. Behaviorally, both knockout (KO) and wild-type (WT) mice learned the initial task equally well. When shifted to asymmetric matching schedules (VI-90 vs. VI-180), ideal matching predicts that mice should allocate exactly 67% of their total responses to the rich lever. Neither group matched as predicted by the matching law. Instead, the KO mice showed a pattern where the higher rate …

Temporal Integration In Music And Aesthetic Judgments: Assessing Musical Taste Through A Transformer-Based Approach, Sophia M. Senderak

Dissertations, Theses, and Capstone Projects

Music unfolds over time, requiring listeners to integrate information moment by moment to make aesthetic judgments. Although we know that music is likely processed on multiple timescales, it is not known which musical features contribute to short versus long timeframes. This study examined whether a computational measure of temporal integration could help explain aesthetic responses to music. Participants (N = 28) listened to 32 sixty-second clips of classical and electronic music, and continuously rated their enjoyment with a dial. After listening, they then gave an overall liking judgment for each clip. To quantify temporal integration, we derived an integration measure …

An Inferential Analysis Of Lexical Networks, Christopher D. Gravelle

Dissertations, Theses, and Capstone Projects

Lexical networks are graphs where words are treated as nodes, and relations between words are treated as edges. The adoption of lexical networks in psycholinguistics is impeded by a lack of readily available inferential methods, which limits work to purely descriptive analyses with little ability to make inferences about what variables account for lexical network structure. The current research explores the use of latent space network models as a method for analyzing lexical networks. Latent space network models are latent variable regression models, which model the presence or strength of edges by estimating pairwise distances between nodes in a latent …

Reducing The Complexity Of The Experimental Design Attenuates Trait-Level Effects In Threat Safety Discrimination Learning, Justin M. Lazzarino

Dissertations, Theses, and Capstone Projects

Trait measures of negative emotionality have sometimes been shown to play a role in shaping threat learning, but findings are mixed. For example, Johnson et al (2023) showed that the inhibitory and prospective subscales of the Intolerance for Uncertainty Scale (IUS) were associated with diminished and enhanced threat-safety discrimination, respectively, during the acquisition phase of a Pavlovian fear conditioning task. This finding was subsequently replicated in an independent sample (Kinney-Petrucha, 2024, unpublished). However, these findings and other trait-level fear acquisition effects have not been consistently observed in the broader fear learning literature. Variation in the complexity of or uncertainty inherent …

Investigating Individual And Group Level Mediators Of Fear Acquisition, Rachel S. Lese

Dissertations, Theses, and Capstone Projects

The ability to discriminate between cues predictive of threat vs. safety (fear acquisition) and subsequently update fear responding when contingencies change (fear extinction) is crucial to survival for all organisms. While these processes have been the subject of intense experimental scrutiny for several decades, most human fear learning studies have focused primarily on extinction learning and fear recovery processes, with less focus on fear acquisition itself. Indeed, researchers typically aim to minimize variability during fear acquisition in order to rule out differences in extinction being driven by variability during the initial learning phase. Thus, experimental protocols are often optimized to …

Somatosensory Cortex Responses To Illusory Touch In A Visual-Tactile Integration Task, Aditi Surendra Pawar

Dissertations, Theses, and Capstone Projects

Perceptual illusions arising from multisensory integration reveal how the brain constructs subjective experience from sensory input, and provide a powerful means of allowing the investigation of neural processes that track perceptual interpretation rather than physical stimulation alone. While visual illusions induced by auditory or tactile stimuli have been fairly well studied, the neural mechanisms underlying visually-induced illusory touch remain unclear. This study investigated whether illusory tactile perception engages the somatosensory cortex in a manner similar to veridical touch. Twenty healthy adults participated in an event-related functional magnetic resonance imaging (fMRI) study while performing a tactile numerosity judgment task. Each trial …

Unveiling The Precision Of Physiological Signals In Prediction Error During Fear Learning: Insights From Associative Strength And Generalized Uncertainty, Haja H. Jallo-Jamboria

Dissertations, Theses, and Capstone Projects

Prediction error (PE) is the discrepancy between expected and actual outcomes. It is a central mechanism in associative learning particularly within fear-conditioning paradigms. Identifying physiological markers of PE in aversive contexts has important implications for refining learning models and enhancing clinical interventions for anxiety-related disorders. This study examined skin conductance response (SCR) as a potential physiological index of PE by analyzing both anticipatory and omission-related responses across multiple learning phases. Participants completed a Pavlovian fear-conditioning paradigm in which two conditioned stimuli (CS+) signaled threat at different reinforcement probabilities: CS+100 (certain threat) and CS+50 (uncertain threat), alongside a non-reinforced safety cue …

Processing Of Diphthongs By Turkish English Bilinguals: An Erp Study, Ecem Kopuz

Dissertations, Theses, and Capstone Projects

This study examines how native phonological experience influences the brain’s response to speech sounds in Turkish-English late bilinguals and English monolinguals. We asked whether neural responses reflecting encoding of auditory information would be sensitive to language specific experience. Using event-related potentials (ERPs), and specifically, the Acoustic Change Complex (ACC) we measured neural responses to four stimuli, /u/, /ua/, /iu/, and /ia/, where vowel quality changes for three of these. A change from /u/ to /a/ or /i/ to /a/ within a syllable (as in [ua] and [ia]) represents a clear vowel quality shift. All participants were expected to show sensitivity …

Using Machine Learning Methods To Evaluate Undergraduates’ Executive Function In The Context Of Game-Based Measurement, Ming Chen

Dissertations, Theses, and Capstone Projects

Traditional performance-based measurements have faced criticism due to their potential to induce test fatigue and their limited ecological validity. In contrast, game-based assessments have demonstrated the capacity to engage participants effectively in tests and enhance ecological validity by replicating real-world scenarios. Nevertheless, conventional statistical approaches may prove insufficient in capturing the intricate, non-linear associations between participants' gaming performance and their cognitive capabilities. Leveraging the potential of machine learning (ML) techniques, which can model complex problems, offers a promising avenue for estimating students' performance in video games. This dissertation aims to explore various ML methods for the validation of three game-based …

When Avatars Go To School: The Effect Of Virtual Reality On Learning And Error Correction, Lauren Barack

Dissertations, Theses, and Capstone Projects

The pandemic in 2020 led to an increasing dependency on technology particularly in learning environments. National educational assessments in the proceeding years have indicated steep, measurable learning loss. While a fully virtual learning environment is not the norm today, we chose to investigate how virtual reality (VR) environments influence learning in college students.

Our primary research goal was to look at how students learn and remember information gathered in virtual spaces. In particular, we examined whether sensory inputs in the VR environment, including spatial audio and haptic feedback, such as vibrations felt in a handheld controller, would help to better …

Category Learning Reorganizes Internal Representations Of Visual Artworks, Aishwarya Gurung

Dissertations, Theses, and Capstone Projects

How are categories of art internally represented, and how can we capture those representations systematically? Investigating category learning in the context of complex, multidimensional stimuli like visual artworks presents unique challenges due to their inherent variability and perceptual complexity. Artworks engage multiple cognitive processes and are shaped by both sensory-driven mechanisms and top-down influences like prior knowledge, making them uniquely suited for studying how structured categorical knowledge interacts with perceptual and aesthetic judgments. The present study addresses these questions by utilizing machine-learning tools to construct and implement a two-dimensional similarity space of 400 existing artworks painted by two artists from …

Constructing A Parameterized Stimuli Space Suitable To Induce Controlled Changes In Human And Machine Perceptual Systems, Andrew Frankel

Dissertations, Theses, and Capstone Projects

Traditional computer vision applications focus on objective tasks, such as object detection, classification, or segmentation. Much of human experience is inherently subjective, such as our personal response to artwork. Individualized experiences are challenging to replicate in a controlled laboratory environment, as those experiences depend on the unique history and internal models of the observer. This work presents a technique to construct a 2-dimensional parameterized stimuli space suitable to induce controlled changes in the perceptual systems of both human and machine observers. Our contributions are threefold:

1. Using a balanced dataset of 8,800 fine art images spanning 11 art movements and 88 …

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Brain Injury And Psychosocial Trauma: Outcomes Among Justice-Involved Individuals, Mahathi D. Kosuri

Dissertations, Theses, and Capstone Projects

Justice-involved individuals experience disproportionately high rates of both traumatic brain injuries (TBI) and psychosocial traumas. However, these traumas have yet to be conceptualized together, leaving a chasm of research on how they interact and influence this population. The current study was the first to measure the effects of TBIs as well as psychosocial trauma among justice-involved men, within the context of executive functioning, history of justice involvement, and recidivism. A sample of men (N=95) from a private correctional facility were given the Ohio State University Traumatic Brain Injury Questionnaire (OSU-TBI-ID), the Lifetime Stressor Checklist- Revised (LSC-R), along with …

Resting-State Eeg Microstate Features For Major Depressive Disorder Classification, George M. V. Quinn

Dissertations, Theses, and Capstone Projects

Neuroimaging studies have revealed consistent abnormalities in functional connectivity within specific neural networks that may serve as biomarkers for major depressive disorder (MDD). It is important to find inexpensive, non-invasive techniques that target these biomarkers to make diagnosis easier and more objective. EEG microstates are quasi-stable potential topographies that are thought to reflect the quasi-stable network activity of the underlying neural generators. MDD has been shown to alter features of the four canonical EEG microstates (A, B, C, D) with some conflicting results. The most consistent network abnormalities in MDD are found in the anterior default mode network, and this …

Enhancing The Accuracy Of The Mild Cognitive Impairment Diagnosis In Community-Based, Racially/Ethnically Diverse Older Adults, Katherine H. Chang

Dissertations, Theses, and Capstone Projects

Mild cognitive impairment (MCI) is thought to represent an intermediate stage of cognitive impairment that is often, but not always, a transitional phase between normal aging and dementia. Diagnostic criteria for “MCI” and international consensus criteria have been developed and refined over decades beginning in the 1990s, but the definition is still debated. Moreover, the operationalization and measurement of one of the criteria for MCI (i.e., subjective cognitive concerns, SCC), which is included in most classification approaches, is highly variable and there is great inconsistency across the literature. Some research efforts even support the removal of this criterion on the …

The Beautiful And The Bullshit: Speaker And Listener Mental Representations Influence Bullshit Receptivity, Ryan Tracy

Dissertations, Theses, and Capstone Projects

Bullshit is a topic that has enjoyed an explosion of attention in both cognitive and social psychological research domains. While the picture painted thus far suggests that receptivity to such statements (i.e., perceiving meaning where none exists) hinges upon an individual’s ability to engage in reflective (vs. reflexive) cognitive processing, little attention has been paid to how purveyors of bullshit influence one’s willingness to engage with the message. This is critical to explore, given the status of misinformation in today’s media climate. A critical step involved in determining characteristics of speakers that predict bullshit receptivity is to understand how people …

Challenging Beliefs: Examining The Efficacy Of Corrections For Conspiratorial And Partisan Misinformation, Ava Zwolinski

Dissertations, Theses, and Capstone Projects

The threat of misinformation is widely acknowledged among researchers and laypeople (NORC, 2021). When misinformation coalesces with conspiracy theories, the repercussions can be especially dangerous, sometimes even fatal. Events such as the January 6th insurrection and the Buffalo Tops Supermarket shooting were both, in part, inspired by misleading information and conspiracy theories (Burke, 2022; Dawsey, 2023). While misinformation involving conspiracy theories is recognized as possibly posing a greater threat to correction efforts (Lewandowsky, 2021a), no study has yet experimentally manipulated the presence or absence of conspiratorial elements within misinformation. This dissertation explores whether conspiratorial misinformation is more difficult to correct …

The Application Of Bayesian Meta-Analytic Models In Cognitive Research On Neurodevelopmental Disorders, Nic Zapparrata

Dissertations, Theses, and Capstone Projects

Meta-analysis is the systematic review and quantitative synthesis of specific areas in literature and is an important quantitative tool for researchers interested in synthesizing a particular body of research. The current research used meta-analysis to investigate processing speed in two neurodevelopmental disorders. This dissertation consisted of four meta-analytic papers. The first paper was a meta-analysis that synthesized a large body of research on processing speed, measured via reaction time (RT) measures, in groups of individuals diagnosed with autism spectrum disorder (ASD) versus age-matched neurotypical comparison groups. This research was motivated by two previous meta-analyses in the literature on processing speed …

Is Aggression In The Eye Of The Beholder?: An Eye-Tracking Study, Kemar P. Pickering

Dissertations, Theses, and Capstone Projects

The study of aggression offers opportunities to more deeply understand criminal behavior, personality and temperament. A deeper understanding of aggression has many implications in applied settings, including work, education and health. The knowledge gained may improve the treatment of behavioral misconduct and antisocial behavior. Additionally, the study of aggression has the potential to inform assessments of quality of life and development while offering information to guide early intervention and improve behavior trajectories.

Understanding aggression has many real-world applications, such as creating a better understanding of criminal activity, identifying who might be more likely to become a criminal, allowing for early …

Examining Visual Processing Of Hierarchical Figures Through Behavioral Measures And Pupillometry In Relation To Autistic Traits In Adults, Chloe Brittenham

Dissertations, Theses, and Capstone Projects

Autism spectrum disorder (ASD) and autistic traits in the general population are associated with differences in sensory processing, particularly within the visual domain. Previous studies examining global (i.e., overall gist) and local (i.e., detail) visual processing in relation to ASD have sometimes yielded contradictory findings yet converge on a common theme: slowed global processing and increased local bias associated with ASD. Despite this consensus, the mechanism underlying these differences remains unclear, whether it be differences in visual attention, higher or lower visual perception, and/or cognitive style. The use of traditional tasks and stimuli may further complicate the understanding of contributing …

Flanker Task Performance In Young And Older Adults: A Behavioral And Erp Study, Fatima Medrano

Dissertations, Theses, and Capstone Projects

Research suggests that as we get older, executive function abilities decline (Hasher & Zacks, 1988; Salthouse, 1996). One affected ability is that of inhibitory control, which aids in monitoring our responses to non-target stimuli or information. Current research on inhibition reveals inconsistencies across studies. Monitoring brain responses during the Flanker (used to measure inhibitory control) task may add valuable insight into the processes underlying group differences behaviorally, by studying the N200 and P300 event-related potentials which have been associated with inhibitory control processes. This study investigated whether there are differences between older and younger adults in inhibitory control and whether …

Pre-Stimulus Anticipation And Unconscious Fear Learning Disparities In Individuals With Varying Levels Of Anxiety, Anastasiya Rumyantseva Kharlamova

Dissertations, Theses, and Capstone Projects

The current study employed a Pavlovian conditioning paradigm to investigate the influence of pre-stimulus unconscious threat anticipation on subsequent fear responses in associative learning. Additionally, we explored the differences in pre-stimulus anticipation among individuals with varying levels of anxiety. Electrodermal response (EDA) was chosen as a primary measure due to its robustness in fear conditioning paradigms. Moreover, the State-Trait Anxiety Inventory (STAI) was utilized to assess anxiety levels in participants. Twenty-seven subjects were recruited to determine if pre-stimulus skin conductance responses (SCR) would exhibit stimulus-specific patterns influenced by implicit cues (L-shaped configurations) that indicated an upcoming face or a house …

Fornix Integrity And Reaction Time To Novel Scenes And Objects In Visual Recognition Memory, Melissa Elder

Dissertations, Theses, and Capstone Projects

The fornix of the hippocampus may play an important role in working and long-term visual recognition memory. Data from a study on the role of hippocampal subfields in visual recognition memory was used here in conjunction with diffusion tensor imaging of the fornix to assess the relationship between the fornix integrity and behavioral performance, including percentage correct and reaction times. Two tasks were employed to separately evaluate working and long-term visual recognition memory, using a combination of indoor and outdoor naturalistic scenes and everyday objects. The subjects included 32 healthy adults, aged 18-44 years whose tensor imaging tractography was obtained …

The Divided Self: Internal Conflict In Literature, Philosophy, Psychology, And Neuroscience, Yulia Greyman

Dissertations, Theses, and Capstone Projects

This thematic project examines the notion of self-division, particularly in terms of the conflict between cognition and metacognition, across the fields of philosophy, psychology, and, most recently, the cognitive and neurosciences. The project offers a historic overview of models of self-division, as well as analyses of the various problems presented in theoretical models to date. This work explores how self-division has been depicted in the literary works of Edgar Allan Poe, Don DeLillo, and Mary Shelley. It examines the ways in which artistic renderings alternately assimilate, resist, and/or critique dominant philosophical, psychological, and scientific discourses about the self and its …

Effects Of Transcranial Direct Current Stimulation On Metamemory Vary By Task Difficulty, Tiffanie T. Li

Dissertations, Theses, and Capstone Projects

Metamemory is broadly defined as the awareness of one’s memory and consists, in part, of a process referred to as monitoring, where one is assessing the contents of their memory. Feeling of knowing (FOK) is one metamemory monitoring judgment where one rates how strongly they believe they will remember a currently unrecalled item. Prior work has shown that HighDefinition Transcranial Direct Current Stimulation (HD-tDCS) over the dorsal lateral prefrontal cortex (DLPFC) led to greater metamemory accuracy and that HD-tDCS over the anterior temporal lobe (ATL) led to better recall for medium difficulty questions. Other work has also shown that effects …

Exploring Cross-Linguistic Speech Perception In Hindi, English, And Romance-Language Through Temporal Dynamics Of Neural Activity, Yuga Kothari

Dissertations, Theses, and Capstone Projects

This study examines the effect of linguistic experience on the neural processing of Voice Onset Time (VOT) in Hindi and Romance language (Spanish and Portuguese) individuals who are bilingual in English and monolingual English speakers using the event-related potential (ERP) Mismatch Negativity (MMN) response. VOT is a linguistic property that measures the time elapsed between the release of a stop consonant and the beginning of voicing, that is, vocal fold vibration of a following vowel. In a double-oddball paradigm, participants’ (n = 41) ERP were recorded while listening to speech sounds differing in VOT. The bilabial short lag stop [p] …

Recursive Functional Learning In Nonfluent Aphasia, Gerald C. Imaezue

Dissertations, Theses, and Capstone Projects

People with nonfluent aphasia (PWNA) require feedback from an external agent as well self-feedback to facilitate performance of language production tasks. The extent to which PWNA can use self-feedback alone to improve their task performance is unknown. In addition, it is argued that self-feedback may reinforce or minimize performance errors over time. To test whether either is the case, we introduce an original learning mechanism, recursive functional learning, which uses self-feedback loops to optimize recursively multiple subsystems (cognitive and linguistic subsystems) that PWNA engage during task performance. We used this mechanism to underpin a novel automated procedure we developed, recursive …

The Neural Correlates Of Bodily Self-Consciousness In Virtual Worlds, Evan A. Owens

Dissertations, Theses, and Capstone Projects

Bodily Self-Consciousness (BSC) is the cumulative integration of multiple sensory modalities that contribute to our sense of self. Sensory modalities, which include proprioception, vestibulation, vision, and touch are updated dynamically to map the specific, local representation of ourselves in space. BSC is closely associated with bottom-up and top-down aspects of consciousness. Recently, virtual- and augmented-reality technology have been used to explore perceptions of BSC. These recent achievements are partly attributed to advances in modern technology, and partly due to the rise of virtual and augmented reality markets. Virtual reality head-mounted displays can alter aspects of perception and consciousness unlike ever …

Attenuated Typicality Effect In Category-Based Inferences: Implications For Autism Spectrum Disorder, Janani Rajagopalan

Dissertations, Theses, and Capstone Projects

Individuals diagnosed with Autism Spectrum Disorder (ASD) often encounter challenges in assimilating atypical exemplars into their categorical prototypes, a cognitive hurdle that can impact their interpretative and integrative capacities. Addressing this problem, the present research sought to develop a robust methodological approach to reduce the effect of this disparity. We examined the elements embedded within the category's internal structure, with the intention of experimentally attenuating the pronounced typicality effect, which is often exaggerated in ASD.

Across four experiments, the thesis investigated the cognitive and neural underpinnings that shape the access to the typicality gradient intrinsic to a category's structure. The …