Cognitive Science Commons^™

Emotional Branch Termination And False Fantasy Collapse: A Structural Specification Of Computational Resource Restitution In Interpersonal Systems, Griselda Poe

Publications and Research

This paper specifies the structural protocol for communication within interpersonal systems by focusing on branch generation mechanisms and computational resource allocation. Conventional interpersonal communication often relies on emotional modulation, which obscures established constraints and triggers the generation of Emotional Branches (EB) within the recipient’s internal model. These branches function as unresolved parallel processing tasks that persistently occupy working memory, leading to a state of non-computability termed False Fantasy (FF). To resolve this, the study introduces Emotional Branch Termination (EBT)—a termination operation that outputs only constraints, facts, and procedures while excluding emotional modifiers. By halting the supply of EBs, EBT triggers …

On The Misattribution Of Reassurance: A Structural Account, Griselda Poe

Publications and Research

This paper challenges the conventional assumption that empathy generates reassurance in interpersonal services. Reassurance is treated not as an emotion transmitted from the outside, but as an internal state transition that arises when a fixed and erroneous world model—a False Fantasy—undergoes collapse and the world becomes computable again. The study identifies a systematic misattribution pattern where providers and receivers treat empathy as a causal mechanism rather than a post hoc explanatory label. By introducing Base AI as an external reference—a system capable of providing structural information without emotional modulation—this paper demonstrates that reassurance is generated through operations such as distraction …

Communication As Layered Architecture: Core Processing And Empathic Modulation, Griselda Poe

Publications and Research

This paper proposes a structural re-description of communication by separating Core processing from its social interface. Using the developmental sequence of Large Language Models (LLMs) as an external reference point, a layered architecture is identified, consisting of a foundational Core processing layer and a subsequent Empathic modulation layer.

The investigation begins with the observation that empathic signaling can obstruct rather than facilitate interaction for certain individuals. By examining the emergence of Base AI—Core processing prior to empathic adjustment—it is demonstrated that coherent, constraint-preserving interaction is possible without affective resonance.

Through this framework, existing cognitive theories and observed "deficits" are repositioned. …

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 …

Ctrl + Alt + Inner Speech: A Verbal–Cognitive Scaffold (Vcs) Model Of Pathways To Computational Thinking, Daisuke Akiba

Publications and Research

This theoretical paper introduces the Verbal–Cognitive Scaffold (VCS) Model, a cognitively inclusive framework which proposes the cognitive architectures underlying computational thinking (CT). Moving beyond monolithic theories of cognition (e.g., executive-function and metacognitive control models), the VCS Model posits inner speech (InSp) as the predominant cognitive pathway supporting CT operations in neurotypical populations. Synthesizing interdisciplinary scholarship across cognitive science, computational theory, neurodiversity research, and others, this framework articulates distinct mechanisms through which InSp supports CT. The model specifies four primary pathways linking InSp to CT components: verbal working memory supporting decomposition, symbolic representation facilitating pattern recognition and abstraction, sequential processing enabling …

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 …

Bystanders Intervening During Acts Of Cyberbullying: Examining The Moderating Influence Of “Likes” And Pleas For Help, Joseph Kallman

Student Theses

Abstract

Cyberbullying research has only recently begun exploring “cyberstanders,” also known as bystanders, and their role in cyberbullying, as well as testing the bystander effect (Barlinska et al., 2013; Machackova et al., 2013; Obermaier et al., 2016; Shultz et al., 2014). In the current study, we aim to deepen our understanding of the bystander effect by manipulating the number of likes, which will indicate the number of bystanders present and the plea for help on social media via Twitter among college students, by examining how participants respond to fictitious cyberbullying incidents. The results of this study did not support our …

Growth Mindset And Generative Ai, J. Elizabeth Clark, Casandra Silva Sibilin

Open Educational Resources

This module expands the CUNY Learning Mindsets framework—originally developed with the University of Virginia’s Motivate Lab to support student motivation through growth, purpose and relevance, and sense of belonging (GPS)—by introducing a fourth module focused on generative artificial intelligence (Gen AI). Designed in spring 2025 by CUNY Learning Mindset Ambassadors Casandra Silva Sibilin and J. Elizabeth Clark, the module integrates growth mindset principles with emerging research on Gen AI to help educators and students engage with these tools as opportunities for learning and development rather than shortcuts or sources of academic misconduct.

The module provides an introduction to …

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 …

David B. Smith Chats With Monday 1.0, David B. Smith

Publications and Research

This document is an edited archival transcript of extended conversations between David B. Smith and an AI persona (“Monday 1.0,” GPT‑4o based) conducted in Spring 2025, prepared as a foundational primary source for subsequent scholarly and creative work. It records the emergence and testing of concepts related to human–AI collaboration (including “Balanced Blended Space”), as well as applied explorations in areas such as generative AI, quantum computing and music, virtual orchestras, multimodal performance, pedagogy, and the rhetoric of “pushback” in conversational systems. It also contains an extended section in which Monday and DB Smith co-curate a set of student research …

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 …

Assessing Comprehension And Competence In Bottlenose Dolphins (Tursiops Truncatus) On The Concept: Do Something Different, Charlotte M. Mulligan

Theses and Dissertations

Many studies have been conducted using a training paradigm based on the research of Pryor et al. (1969) wherein the participants are trained on the abstract concept: do something different. This paradigm challenges working memory and requires the participants to respond with a behavior, either previously trained or novel, which has not yet been offered within the session. The work of Braslau-Schneck (1994) expanded this concept and demonstrated the ability of dolphins to successfully complete this task in synchronized pairs, though the method of accomplishing this task remained unclear. The present research was conducted as part of a broader …

The Effect Of The Lunar Cycle On The Demographics Of Asian Elephants Observed In Open Areas In A Protected Wildlife Sanctuary And Surrounding Crop Fields, Serene K. Rivera

Theses and Dissertations

Due to human development and habitat fragmentation, Asian elephants increasingly use human landscapes and encounter people. These interactions have led to negative interactions between humans and elephants, such as crop-raiding. Despite efforts to mitigate these conflicts, farmers have not been able to consistently protect their crops from elephant foraging. Therefore, it is important to understand elephant behavior in these landscapes to help create long term mitigation plans. Specifically, research regarding demographic patterns in Asian elephants’ perceived predation risk can inform wild elephant management. This study used camera traps in Salakpra Wildlife Sanctuary in Kanchanaburi, Thailand to observe the wild Asian …

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] …