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Underlying Contribution Of Executive Functioning To Cognition And Academic Achievement In Individuals With Dystrophinopathy, Robert Fee 2018 The Graduate Center, City University of New York

Underlying Contribution Of Executive Functioning To Cognition And Academic Achievement In Individuals With Dystrophinopathy, Robert Fee

All Dissertations, Theses, and Capstone Projects

Dystrophinopathy is a genetic disorder that results in the lack of or abnormal expression of the protein dystrophin. It is a disorder that alters cell structure and function, impacts the developing brain and brain function, presents with multi-domain cognitive deficits, and influences both mood and behavior. Cognitive impairments appear to be more localized to specific areas of functioning rather than a global deficit; however, deficits have been identified across multiple cognitive domains including language and aspects of executive functioning. A careful examination of the cognitive phenotype and its association to mutations affecting CNS isoforms is necessary to clarify the neuropsychological ...


The Relationship Between Cognitive And Neural Bases Of Metamemory Judgments, Alexandra M. Gaynor 2018 The Graduate Center, City University of New York

The Relationship Between Cognitive And Neural Bases Of Metamemory Judgments, Alexandra M. Gaynor

All Dissertations, Theses, and Capstone Projects

Metamemory monitoring, the process of making subjective assessments of the status of one’s own memory, is crucial to guiding behavior and effective learning. Past cognitive research has shown that subjective confidence judgments are inferential in nature, and based on cues available at the time of the judgment. When confidence is based on cues that are related to objective memory performance, metamemory accuracy is high. However, past studies have shown that metamemory monitoring tends to be inaccurate because individuals base their confidence on information that is not predictive of memory success, such as the fluency with which items were encoded ...


Processing Emotional Expression In The Dance Of A Foreign Culture: Gestural Responses Of Germans And Koreans To Ballet And Korean Dance, Zi Hyun Kim, Hedda Lausberg 2018 German Sport University Cologne

Processing Emotional Expression In The Dance Of A Foreign Culture: Gestural Responses Of Germans And Koreans To Ballet And Korean Dance, Zi Hyun Kim, Hedda Lausberg

Journal of Movement Arts Literacy

Artistic dance differs between cultures with regard to the formal movement repertoire and methods to represent dancer's emotions. The present study explores how differently the spectators perceive the dance scenes of their own and foreign cultures. We showed German and Korean participants sad and happy dance scenes of the French ballet Giselle and Korean dance Sung-Mu. To learn the perceived thoughts and feelings of the participant from the dance scenes, we analyzed the frequency of their hand movements and gestures, which were accompanied by verbal descriptions of the participant's appreciation immediately after observation of the dance stimuli. The ...


Linking Signal Detection Theory And Encoding Models To Reveal Independent Neural Representations From Neuroimaging Data, Fabian A. Soto 2018 Florida International University

Linking Signal Detection Theory And Encoding Models To Reveal Independent Neural Representations From Neuroimaging Data, Fabian A. Soto

MODVIS Workshop

No abstract provided.


A Feature-Based Model Of Visually Perceiving Deformable Objects, Vivian C. Paulun, Filipp Schmidt, Roland W. Fleming 2018 Justus Liebig University, Giessen

A Feature-Based Model Of Visually Perceiving Deformable Objects, Vivian C. Paulun, Filipp Schmidt, Roland W. Fleming

MODVIS Workshop

No abstract provided.


Global Estimation Of Signed 3d Surface Tilt From Natural Images, Seha Kim, Johannes Burge 2018 University of Pennsylvania

Global Estimation Of Signed 3d Surface Tilt From Natural Images, Seha Kim, Johannes Burge

MODVIS Workshop

The ability of human visual systems to estimate 3D surface orientation from 2D retinal images is critical. But the computation to calculate 3D orientation in real-world scenes is not fully understood. A Bayes optimal model grounded in natural statistics has explained 3D surface tilt estimation of human observers in natural scenes (Kim and Burge, 2018). However, the model is limited because it estimates only unsigned tilt (tilt modulo 180deg). We extend the model to predict signed tilt estimates and compared with human signed estimates. The model takes image pixels as input and produces optimal estimates of tilt as output, using ...


Inferring The Neural Representation Of Faces From Adaptation Aftereffects, Kara J. Emery, Michael A. Webster Ph.D. 2018 University of Nevada, Reno

Inferring The Neural Representation Of Faces From Adaptation Aftereffects, Kara J. Emery, Michael A. Webster Ph.D.

MODVIS Workshop

The aftereffects of adaptation to faces have been studied widely, in part to characterize the coding schemes for representing different facial attributes. Often these aftereffects have been interpreted in terms of two alternative models of face processing: 1) a norm-based or opponent code, in which the facial dimension is represented by relative activity in a pair of broadly-tuned mechanisms with opposing sensitivities; or 2) an exemplar code, in which the dimension is sampled by multiple channels narrowly-tuned to different levels of the stimulus. Evidence for or against these alternatives is based on the different patterns of aftereffects they predict (e ...


Effect Of Noise On Mutually Inhibiting Pyramidal Cells In Visual Cortex: Foundation Of Stochasticity In Bi-Stable Perception, Naoki Kogo, Felix Kern, Thomas Nowotny, Raymond van Ee, Richard van Wezel, Takeshi Aihara 2018 Biophysics, Donders Institute for Brain, Cognition and Behaviour, Radboud University

Effect Of Noise On Mutually Inhibiting Pyramidal Cells In Visual Cortex: Foundation Of Stochasticity In Bi-Stable Perception, Naoki Kogo, Felix Kern, Thomas Nowotny, Raymond Van Ee, Richard Van Wezel, Takeshi Aihara

MODVIS Workshop

Bi-stable perception has been an important tool to investigate how visual input is interpreted and how it reaches consciousness. To explain the mechanisms of this phenomenon, it has been assumed that a mutual inhibition circuit plays a key role. It is possible that this circuit functions to resolve ambiguity of input image by quickly shifting the balance of competing signals in response to conflicting features. Recently we established an in vitro neural recording system combined with computerized connections mediated by model neurons and synapses (“dynamic clamp” system). With this system, mutual inhibition circuit between two pyramidal cells from primary visual ...


Why Latent Representations In Convolutional Neural Networks Fall Outside Visual Space, Katerina Malakhova 2018 Pavlov Institute of Physiology of the Russian Academy of Sciences

Why Latent Representations In Convolutional Neural Networks Fall Outside Visual Space, Katerina Malakhova

MODVIS Workshop

It is common to compare properties of visual information processing by artificial neural networks and the primate visual system.

Some remarkable similarities were observed in the responses of neurons in IT cortex and units in higher layers of CNNs. Here I show that latent representations formed by weights in convolutional layers do not necessarily reflect visual domain. Instead they are strongly dependent on a choice of training set and cost function.

The most striking example is when an individual unit, which is highly selective to some members of a category is, nevertheless, inhibited by visually similar objects of the same ...


Divisive Inhibition As A Solution To The Correspondence Problem In Perceptual Grouping, Chien-Chung Chen, Yi-Shiuan Lin, Li Lin 2018 National Taiwan University

Divisive Inhibition As A Solution To The Correspondence Problem In Perceptual Grouping, Chien-Chung Chen, Yi-Shiuan Lin, Li Lin

MODVIS Workshop

No abstract provided.


Discovery Of Activities Via Statistical Clustering Of Fixation Patterns, Jeffrey B. Mulligan 2018 NASA Ames Research Center

Discovery Of Activities Via Statistical Clustering Of Fixation Patterns, Jeffrey B. Mulligan

MODVIS Workshop

No abstract provided.


Childhood Poverty And Its Effects On The Brain: Physiological And Functional Implications, Lauren Scandrett 2018 University of Wyoming

Childhood Poverty And Its Effects On The Brain: Physiological And Functional Implications, Lauren Scandrett

Honors Theses AY 17/18

One out of every five American children lives below the federal poverty line. Considering that poverty is deemed one of the most influential risk factors for poor developmental outcomes, it is critical to understand what effect poverty has on the developing brain and how those brain changes affect a child’s life. Poverty is chiefly defined by having a low socioeconomic status (SES), but a low SES is often accompanied by other influencers, such as nutrition and mental stimulation, termed poverty co-factors. Other poverty co-factors include, but are not limited to, maternal stress and malnutrition, environmental toxins, parental nurturance, and ...


Role Of The Dorsal Striatum In Learning And Decision Making, Nole M. Hiebert 2018 The University of Western Ontario

Role Of The Dorsal Striatum In Learning And Decision Making, Nole M. Hiebert

Electronic Thesis and Dissertation Repository

The striatum, the input region of the basal ganglia, has been shown to mediate many cognitive functions. The striatum itself can be functionally segregated into dorsal (DS) and ventral striatum (VS). For more than 60 years, DS has been reported to mediate stimulus-response learning, though evidence has been accruing pointing to a role in decision making. These literatures have been growing independently and an aim of this thesis was to bridge these two bodies of knowledge. We directly investigated the role of DS in stimulus-response learning versus decision making using functional magnetic resonance imaging (fMRI) in patients with Parkinson’s ...


Ethical Analysis Of Brain Augmentation Through Nanotechnology, Austin Caras, James DeJesus 2018 University of Puget Sound

Ethical Analysis Of Brain Augmentation Through Nanotechnology, Austin Caras, James Dejesus

Sound Decisions: An Undergraduate Bioethics Journal

The use of nanoparticles for drug delivery and neural cell manipulation may soon allow for organic and electronic brain augmentations. Medical technology being used for cognitive enhancement brings a host of ethical questions related to safety, justice, privacy, and individuality. Issues concerning medical consent and intellectual property will be skewed as neuroscience expands our understanding of the brain, growing our capacity to read and modify it. Socioeconomic strata may realign based on augmentations and employment opportunities may become dependent on specific cognitive enhancements. Long-term effects of unregulated nanoparticle usage could elicit an environmental or human health disaster. The potential ...


The Ethical Justification Of Equal Candidacy For Organ Transplantation In Alcoholic Patients, Peter A. DePergola II 2018 University of Massachusetts Medical School - Baystate; College of Our Lady of the Elms

The Ethical Justification Of Equal Candidacy For Organ Transplantation In Alcoholic Patients, Peter A. Depergola Ii

Online Journal of Health Ethics

An increasingly blurred understanding of the distinctive challenges posed to transplantation medicine and, by extension, public health, by the debilitating reality of alcoholism suggests a critical need to revisit the relationship between causality, candidacy, and culpability in light of substance addiction. This essay grounds its arguments in two, straightforward premises: (i) compassionate medical practice - understood as the sympathetic willingness to enter into the existential suffering of another in order to ameliorate the anguish invoked by disease - rests on the fiduciary relationship shared between provider and patient; and (ii) allocating medical goods according to moral desert rather than existential disposition undermines ...


Examining The Relationship Between State Anxiety And Vestibular And Ocular Motor Impairments And Symptoms In High School Athletes With Concussion, Mallory Kathleen McElroy 2018 University of Arkansas, Fayetteville

Examining The Relationship Between State Anxiety And Vestibular And Ocular Motor Impairments And Symptoms In High School Athletes With Concussion, Mallory Kathleen Mcelroy

Theses and Dissertations

Anxiety has been associated with vestibular and ocular motor impairment in the general population. However, there is limited research regarding the connection between the vestibular and ocular motor systems and anxiety following sport-related concussion (SRC). OBJECTIVE: The purpose of this study is to compare state anxiety between concussed adolescent male and female athletes with and without vestibular and ocular motor impairments and symptoms. DESIGN: Prospective, repeated measures SUBJECTS: Thirty adolescent athletes between the ages of 15-18 years, diagnosed with a SRC completed the STAI-State at initial and medical clearance clinical visit. These adolescent athletes were categorized into vestibular and ocular ...


Time-Evolving Dynamics In Brain Networks Forecast Responses To Health Messaging, Nicole Cooper, Javier O. Garcia, Steven Tompson, Matthew B. O'Donnell, Emily B. Falk, Jean M. Vettel 2018 University of Pennsylvania

Time-Evolving Dynamics In Brain Networks Forecast Responses To Health Messaging, Nicole Cooper, Javier O. Garcia, Steven Tompson, Matthew B. O'Donnell, Emily B. Falk, Jean M. Vettel

Departmental Papers (ASC)

Neuroimaging measures have been used to forecast complex behaviors, including how individuals change decisions about their health in response to persuasive communications, but have rarely incorporated metrics of brain network dynamics. How do functional dynamics within and between brain networks relate to the processes of persuasion and behavior change? To address this question, we scanned forty-five adult smokers using functional magnetic resonance imaging while they viewed antismoking images. Participants reported their smoking behavior and intentions to quit smoking before the scan and one month later. We focused on regions within four atlas-defined networks and examined whether they formed consistent network ...


The Impact Of Racial Group Status On Neural Activity, Belongingness, And Distress During Social Exclusion, Brian Anyakoha 2018 College of William and Mary

The Impact Of Racial Group Status On Neural Activity, Belongingness, And Distress During Social Exclusion, Brian Anyakoha

Undergraduate Honors Theses

Social exclusion, whereby individuals are made to feel isolated by others, has been frequently demonstrated to be detrimental to human social needs and can negatively impact mental and physical health because human beings are intrinsically social (Goodwin et al., 2010). Past research has shown that human motivational, psychological, and affective responses to ostracism indicate increased levels of social pain, the emotional pain we experience when our social needs are violated (Kawamoto et. al, 2013). The current study aimed to assess the impact of social exclusion on neural activity, feelings of belonging, and self-reported distress, while also determining whether these responses ...


Ai-Human Collaboration Via Eeg, Adam Noack 2018 College of Saint Benedict/Saint John's University

Ai-Human Collaboration Via Eeg, Adam Noack

All College Thesis Program, 2016-present

As AI becomes ever more competent and integrated into our lives, the issue of AI-human goal misalignment looms larger. This is partially because there is often a rift between what humans explicitly command and what they actually mean. Most contemporary AI systems cannot bridge this gap. In this study we attempted to reconcile the goals of human and machine by using EEG signals from a human to help a simulated agent complete a task.


The Test-Retest Reliability Of Erp Components As Assessed By The Brief Neurometric Battery, James D. Cole, Paul Kieffaber 2018 The College of William and Mary

The Test-Retest Reliability Of Erp Components As Assessed By The Brief Neurometric Battery, James D. Cole, Paul Kieffaber

Undergraduate Honors Theses

Electroencephalography (EEG) has been a crucial component of neuropsychological research for nearly a century. Recent applications of the EEG recordings in a clinical setting have demonstrated a range of diagnostic and prognostic uses. Certain changes in event-related potentials (ERP) have been linked to the effects of different neurological conditions and can be accurately used to determine the severity of those conditions. However, in order to assess the stability of these ERP recordings over an extended period of time, one must first establish their statistical test-retest reliability. Using a novel Brief Neurometric Battery we assessed seven different ERP components in twenty ...


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