Neuroscience and Neurobiology Commons^™

Self-Regulation, Threat Perception, And Inhibitory Control: An Fmri Investigation Of Children With Adhd, Erin Kaseda

Undergraduate Honors Theses

This thesis examines the role of perceived parental support on adolescents aged 12-19 who have been diagnosed with attention-deficit/hyperactivity disorder (ADHD). Specifically, the study focused on inhibitory control, one form of cognitive executive control often implicated in ADHD, in three ways: first, through the use of a Go/No-Go task during a functional MRI scan of the brain; second, through the use of a neuropsychological cognitive battery using the NIH Toolbox; and third, through a qualitative interview that examined self-control in school and home contexts. Contrary to the initial hypothesis, parental support was found to be negatively correlated with inhibitory control …

Geometric Analysis Of Synchronization In Neuronal Networks With Global Inhibition And Coupling Delays, Hwayeon Ryu, Sue Ann Campbell

Biology and Medicine Through Mathematics Conference

No abstract provided.

Effect Sizes In Task-Based Functional Magnetic Resonance Imaging, Tyler Kellett

Celebration of Learning

Task-based functional magnetic resonance imaging (t-fMRI) techniques have changed the way scientists probe the neurological mechanisms underlying behavior. However, there are many problems surrounding t-fMRI especially underpowered studies leading to misleading effect sizes. This study is using a recent large data collection study, the Human Connectome Project, to investigate effect sizes in specific regions of the brain involving working memory. Previous studies have come up with relatively small effect sizes due to small sample sizes and large regions of interest (ROI). This study is concentrated on using more precise ROI called parcels to find larger effect sizes.

An Investigation Of The Cortical Learning Algorithm, Anthony C. Samaritano

Theses and Dissertations

Pattern recognition and machine learning fields have revolutionized countless industries and applications from biometric security to modern industrial assembly lines. The fields continue to accelerate as faster, more efficient processing hardware becomes commercially available. Despite the accelerated growth of the pattern recognition and machine learning fields, computers still are unable to learn, reason, and perform rudimentary tasks that humans and animals find routine. Animals are able to move fluidly, understand their environment, and maximize their chances of survival through adaptation - animals demonstrate intelligence. A primary argument in this thesis that we have not yet achieved a level of intelligence …

The Role Of Interleukin-1 Beta In Methamphetamine Mediated Increases In Dopamine Release Within The Mesolimbic Pathway, Anneke Klomp, Ben Lee, Dr. Scott Steffensen

Journal of Undergraduate Research

In this study we wanted to determine the effect that Interleukin-1 Beta (IL-1𝛃) would have in changing the effects that methamphetamines have on dopamine release in the nucleus accumbens (reward center of the brain). It has been well established previously that methamphetamines increases dopamine levels in the nucleus accumbens. Given that IL-1𝛃 increases inflammation in the brain which has been seen to be involved in dopamine release and that IL-1𝛃 is able to act on other parts of the brain, we suspected that by inhibiting IL-1𝛃 we would see a decrease in dopamine response to methamphetamines. If the IL-1𝛃 blocker, …

The Involvement Of The Ip3 Receptor In The Rewarding/Addictive Properties Of Methamphetamine, Mark Woodbury, Dr. Scott Steffensen

Journal of Undergraduate Research

Methamphetamine (METH) is a very powerful psychoactive drug that is highly addictive and toxic to the brain. Its use and abuse has been rising in recent years, and certain reports indicate that amphetamine-like drugs are the second most abused drugs worldwide. The side effects of METH abuse are varied and serious in nature, including: hyperthermia, tooth decay, heart attack, seizures, stroke, skin lesions, memory loss, confusion, anxiety, depression, psychosis, Parkinson’s Disease, and increased severity of HIV/AIDS (Chang et al., 2005; Curtin et al., 2015; Thanos et al., 2017). Despite these devastating effects, many of those addicted do not or cannot …

Neural And Behavioral Correlates Of Attentional Inhibition Training And Perceptual Discrimination Training In A Visual Flanker Task, Robert D. Melara, Shalini Singh, Denise A. Hien

Publications and Research

Two groups of healthy young adults were exposed to 3 weeks of cognitive training in a modified version of the visual flanker task, one group trained to discriminate the target (discrimination training) and the other group to ignore the flankers (inhibition training). Inhibition training, but not discrimination training, led to significant reductions in both Garner interference, indicating improved selective attention, and in Stroop interference, indicating more efficient resolution of stimulus conflict. The behavioral gains from training were greatest in participants who showed the poorest selective attention at pretest. Electrophysiological recordings revealed that inhibition training increased the magnitude of Rejection Positivity …

At-Home Transcranial Direct Current Stimulation (Tdcs) With Telehealth Support For Symptom Control In Chronically-Ill Patients With Multiple Symptoms, Alexa Riggs, Vaishali Patel, Bhaskar Paneri, Russell K. Portenoy, Marom Bikson, Helena Knotkova

Publications and Research

Transcranial direct current stimulation (tDCS) delivered in multiple sessions can reduce symptom burden, but access of chronically ill patients to tDCS studies is constrained by the burden of office-based tDCS administration. Expanded access to this therapy can be accomplished through the development of interventions that allow at-home tDCS applications.

Objective: We describe the development and initial feasibility assessment of a novel intervention for the chronically ill that combines at-home tDCS with telehealth support. Methods: In the developmental phase, the tDCS procedure was adjusted for easy application by patients or their informal caregivers at home, and a tDCS protocol with specific …

Contextual Fear Retrieval-Induced Fos Expression Across Early Development In The Rat: An Analysis Using Established Nervous System Nomenclature Ontology, Anthony Santarelli, Arshad Khan, Andrew Poulos

Selected Works Temporary Series

No abstract provided.

Contextual Fear Retrieval-Induced Fos Expression Across Early Development In The Rat: An Analysis Using Established Nervous System Nomenclature Ontology, Santarelli, Arshad Khan, Andrew Poulos

Departmental Papers (Biology)

No abstract provided.

‘Preferred’ Stimulus Of A Whole Model Visual System, Olivier Penacchio, Julie M. Harris

MODVIS Workshop

No abstract provided.

Finding Any Waldo: Zero-Shot Invariant And Efficient Visual Search, Gabriel Kreiman, Mengmi Zhang

MODVIS Workshop

Visual search constitutes a ubiquitous challenge in natural vision, including daily tasks such as finding a friend in a crowd or searching for a car in a parking lot. Visual search must fulfill four key properties: selectivity (to distinguish the target from distractors in a cluttered scene), invariance (to localize the target despite changes in its rotation, scale, illumination, and even searching for generic object categories), speed (to efficiently localize the target without exhaustive sampling), and generalization (to search for any object, even ones that we have had minimal or no experience with). Here we propose a computational model that …

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

MODVIS Workshop

No abstract provided.

Texture Statistics Are Sufficient For Ensemble Perception, Sasen S. Cain, Matthew S. Cain

MODVIS Workshop

No abstract provided.

Exploiting Click-Chemistry And Microfluidics To Map The Neuronal Itinerary Of App Processing And Amyloid-Beta Generation, Namratha Srinivas

McKelvey School of Engineering Graduate Student Theses & Dissertations

Alzheimer’s disease (AD) is a chronic neurodegenerative disease and is the sixth leading cause of death in the United States with approximately 5.5 million Americans diagnosed with it. The neuropathological hallmark includes extracellular senile plaques and intraneuronal neurofibrillary tangles. Recent GWAS studies have identified genes associated with AD, and have revealed several classes of genes implicated in disease pathogenesis. In particular, three general pathways associated with an increased risk of AD included: 1) cholesterol metabolism, innate immune system, and the membrane trafficking. Our lab has focused on intracellular trafficking as it relates to the processing of amyloid precursor protein (APP), …

Michelson Contrast For Transparency Perception In Scenes With Multiple Luminances, Minjung Kim, Guillermo Aguilar, Marianne Maertens

MODVIS Workshop

No abstract provided.

Modeling Neural Computations In Lgn And Visual Cortex That Underlie Contextual Modulation Of Lightness And Darkness Magnitudes In Simple And Complex Images, Michael E. Rudd

MODVIS Workshop

No abstract provided.

Brightness Perception Involves Local Adaptation Opposed By Lateral Interaction, Qasim Zaidi, Romain Bachy, Jose-Manuel Alonso

MODVIS Workshop

No abstract provided.

The Road Towards Image-Computable Models Of Human Visual Grasp Planning, Guido Maiello, Lina K. Klein, Vivian C. Paulun, Katherine R. Storrs, Roland W. Fleming

MODVIS Workshop

No abstract provided.

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

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.

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.g. …

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 …

Visual Category Learning By Means Of Basal Ganglia, Fred H. Hamker, Francesc Villagrasa, Javier Baladron, Henning Schroll, Julien Vitay

MODVIS Workshop

No abstract provided.

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 …

Appropriate Kernels For Divisive Normalization Explained By Wilson-Cowan Equations, Jesus Malo, Marcelo Bertalmio

MODVIS Workshop

Cascades of standard Linear+NonLinear-Divisive Normalization transforms [Carandini&Heeger12] can be easily fitted using the appropriate formulation introduced in [Martinez17a] to reproduce the perception of image distortion in naturalistic environments. However, consistently with [Rust&Movshon05], training the model in naturalistic environments does not guarantee the prediction of well known phenomena illustrated by artificial stimuli. For example, the cascade of Divisive Normalizations fitted with image quality databases has to be modified to include a variety aspects of masking of simple patterns. Specifically, the standard Gaussian kernels of [Watson&Solomon97] have to be augmented with extra weights [Martinez17b]. These can be introduced ad-hoc using the intuition …

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.

Model Investigation On Contribution Of Feedback In Distortion Induced Motion Adaptation, Siegfried Wahl, Selam Habtegiorgis, Christian Jarvers, Katharina Rifai, Heiko Neumann

MODVIS Workshop

Motion information is processed in a neural circuit formed by synaptic organization of feedforward (FF) and feedback (FB) connections between different cortical areas. However, the contribution of a recurrent FB information to adaptation process is not well explored. Here, a biologically plausible neural model that predicts motion adaptation aftereffect (MAE) induced by exposure to geometrically skewed natural image sequences is suggested. The model constitutes two stage recurrent motion processing within cortical areas V1 and MT [1]. It comprises FF excitatory, FB modulatory and lateral inhibitory connections, and a fast and a slow adaptive synapse in the FF and FB streams, …

A Model Of 1d And 2d Motion Processing In The Primate Brain, Alan Johnston

MODVIS Workshop

Velocity encoding in the primate brain can be modelled by a spatiotemporal gradient approach, with neurons characterized as spatio-temporal derivative operators (Johnston et al. 1999). This strategy works well for moving 1D spatial patterns, but it can produce systematic errors, as it can be overly influenced by the direction of the local spatial gradient of the image brightness. For 2D pattern it is possible to develop a similar spatio-temporal approach, in which the system solves a set of over-determined linear equations directly, to provide an estimate for the 2D image motion. However, in this case the matrix one needs to …

Modeling Emmetropization In An Incessantly Moving Eye, Michele Rucci, Jonathan D. Victor

MODVIS Workshop

Many questions remain unanswered regarding the specific cues and mechanisms for emmetropization, the process by which, during development, the eye adjusts itself so that distant objects are in focus. Research has so far primarily focused on the spatial cues present in the image on the retina, such as the degree of blur. However, eye movements incessantly transform a mostly static scene into temporal modulations, so that the input to the retina is not an image, but a spatiotemporal flow of luminance. Models of retinal input signals indicate that this space-time reformatting caused by eye movements yields additional cues to the …