Computational Neuroscience Commons^™

Destined Failure, Chengjun Pan

Masters Theses

I attempt to examine the complex structure of human communication, explaining why it is bound to fail. By reproducing experienceable phenomena, I demonstrate how they can expose communication structure and reveal the limitations of our perception and symbolization.I divide the process of communication into six stages: input, detection, symbolization, dictionary, interpretation, and output. In this thesis, I examine the flaws and challenges that arise in the first five stages. I argue that reception acts as a filter and that understanding relies on a symbolic system that is full of redundancies. Therefore, every interpretation is destined to be a deviation.

Constraining The Binding Problem Using Maps, Zhixian Han, Anne Sereno

MODVIS Workshop

We constrained the binding problem by creating maps of different attributes. We compared the performance of different models with different maps in our current study. Our preliminary results showed that the performance of the model is the highest when location maps were used. These results suggest that the optimal way to constrain the binding problem is to create location maps of different attributes.

Individual Differences In Structure Learning, Philip Newlin

Theses and Dissertations

Humans have a tendency to impute structure spontaneously even in simple learning tasks, however the way they approach structure learning can vary drastically. The present study sought to determine why individuals learn structure differently. One hypothesized explanation for differences in structure learning is individual differences in cognitive control. Cognitive control allows individuals to maintain representations of a task and may interact with reinforcement learning systems. It was expected that individual differences in propensity to apply cognitive control, which shares component processes with hierarchical reinforcement learning, may explain how individuals learn structure differently in a simple structure learning task. Results showed …

Identifying And Localizing Multiple Objects Using Artificial Ventral And Dorsal Visual Cortical Pathways, Zhixian Han, Anne Sereno

MODVIS Workshop

We concluded in our previous study that model cortical visual pathways actively retained information differently according to the different goals of the training tasks. One limitation of our study was that there was only one object in each input image whereas in reality there may be multiple objects in a scene. In our current study, we try to find a brain-like algorithm that can recognize and localize multiple objects.

Memoir Dataset: Quantifying Image Memorability In Adolescents, Gal Almog, Yalda Mohsenzadeh

Undergraduate Student Research Internships Conference

Every day, humans observe and interact with hundreds of images and scenes; whether it be on a cellphone, on television, or in print. Yet a vast majority of these images are forgotten, some immediately and some after variable lengths of time. Memorability is indeed a property intrinsic to all images that can be extracted, as well as predicted. While memory itself is a process that occurs in the brain of an individual, the concept of memorability is an intrinsic, continuous property of a stimulus that can be both measured and manipulated. We selected images from the MemCat data set that …

A Defense Of Pure Connectionism, Alex B. Kiefer

Dissertations, Theses, and Capstone Projects

Connectionism is an approach to neural-networks-based cognitive modeling that encompasses the recent deep learning movement in artificial intelligence. It came of age in the 1980s, with its roots in cybernetics and earlier attempts to model the brain as a system of simple parallel processors. Connectionist models center on statistical inference within neural networks with empirically learnable parameters, which can be represented as graphical models. More recent approaches focus on learning and inference within hierarchical generative models. Contra influential and ongoing critiques, I argue in this dissertation that the connectionist approach to cognitive science possesses in principle (and, as is becoming …

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

MODVIS Workshop

No abstract provided.

Using Classification Images To Understand Models Of Lightness Perception, Minjung Kim, Jason M. Gold, Richard F. Murray

MODVIS Workshop

No abstract provided.

“My Logic Is Undeniable”: Replicating The Brain For Ideal Artificial Intelligence, Samuel C. Adams

Senior Honors Theses

Alan Turing asked if machines can think, but intelligence is more than logic and reason. I ask if a machine can feel pain or joy, have visions and dreams, or paint a masterpiece. The human brain sets the bar high, and despite our progress, artificial intelligence has a long way to go. Studying neurology from a software engineer’s perspective reveals numerous uncanny similarities between the functionality of the brain and that of a computer. If the brain is a biological computer, then it is the embodiment of artificial intelligence beyond anything we have yet achieved, and its architecture is advanced …

The Bounded Log-Odds Model Of Frequency And Probability Distortion, Hang Zhang, Laurence T. Maloney

MODVIS Workshop

No abstract provided.

Spike Field Coherence (Sfc) For Ripples In Rat Hippocampus, Pranav Singla

Honors Scholar Theses

The aim of this project was to determine coherence between two types of neural recordings which can be obtained from the rat hippocampus: spikes and local field potentials. Extracellular recording makes it possible to determine spiking activity from individual neurons in the vicinity of the recording electrode. Local field potential recording gives a combined activity of many neurons (thousands) at once to determine an overall picture of the coordination of the cells in real time. Here we examine the relationship between these two signals, focusing on place cells which spike at their maximal rate only at certain positions in physical …

Design, Programming, And User-Experience, Kaila G. Manca

Honors Scholar Theses

This thesis is a culmination of my individualized major in Human-Computer Interaction. As such, it showcases my knowledge of design, computer engineering, user-experience research, and puts into practice my background in psychology, com- munications, and neuroscience.

I provided full-service design and development for a web application to be used by the Digital Media and Design Department and their students.This process involved several iterations of user-experience research, testing, concepting, branding and strategy, ideation, and design. It lead to two products.

The first product is full-scale development and optimization of the web appli- cation.The web application adheres to best practices. It was …

Where Do I Know That? A Distributed Multimodal Model Of Semantic Knowledge, Kevin M. Stubbs

Undergraduate Honors Theses

As computers have grown more and more powerful, computational modeling has become an increasingly valuable tool for evaluating real world findings. Likewise, brain imaging has become increasingly powerful as is evidenced by recent fMRI findings which support the exciting possibility that semantic memory is segregated by modality in the brain (Goldberg et al., 2006b). The present study utilizes connectionist modeling to put the distributed multi-modal framework of semantic memory to the test, and represents the next step forward in the line of sensory-functional models. This model, based around the McRae et al. (2005) feature production norms, includes individual implementations of …

Brain Function Differences In Language Processing In Children And Adults With Autism, Diane L. Williams, Vladimir L. Cherkassky, Robert A. Mason, Timothy A. Keller, Nancy J. Minshew, Marcel Adam Just

Marcel Adam Just

No abstract provided.

The Possible Connection Of Gamma Oscillation And 3-D Object Representation, Thien N. Vu

Summer Research

We process and encode for different features of a particular object (shape, color, texture, etc.) in distinct areas of the brain. How we bind these attributes together into a unified perception of an object is unknown. Past research suggests that synchronized activity between brain areas, particularly induced gamma activity (~ 40 Hz), may account for this binding process and the basis of our conscious perceptual experience, specifically through object representation. In this study, participants were asked to look at a series of 2-D pictures of cars from distinctive rotations (0⁰, 90⁰, 180⁰) and were …

Distinctive Neural Processes During Learning In Autism, Sarah Schipul, Diane Williams, Timothy Keller, Nancy Minshew, Marcel Just

Marcel Adam Just

No abstract provided.

Brain Activation For Language Dual-Tasking: Listening To Two People Speak At The Same Time And A Change In Network Timing, Augusto Buchweitz, Timothy Keller, Ann Meyler, Marcel Just

Marcel Adam Just

No abstract provided.

Autism As A Neural Systems Disorder: A Theory Of Frontal-Posterior Underconnectivity, Marcel Just, Timothy Keller, Vicente Malave, Rajesh Kana, Sashank Varma

Marcel Adam Just

No abstract provided.

An Fmri Investigation Of Analogical Mapping In Metaphor Comprehension: The Influence Of Context And Individual Cognitive Capacities On Processing Demands., Chantel Prat, Robert Mason, Marcel Just

Marcel Adam Just

No abstract provided.

Exploring Commonalities Across Participants In The Neural Representation Of Objects, Svetlana V. Shinkareva, Vicente L. Malave, Marcel Adam Just, Tom M. Mitchell

Marcel Adam Just

No abstract provided.

Identifying Bilingual Semantic Neural Representations Across Languages, Augusto Buchweitz, Svetlana V. Shinkareva, Robert A. Mason, Tom M. Mitchell, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Reflexivity In Financial Markets: A Neuroeconomic Examination Of Uncertainty And Cognition In Financial Markets, Steven Pikelny

Senior Projects Spring 2011

Financial markets exist to disperse the risks of an unknown future in an economy. But for this process to work in an optimal fashion, investors – and subsequently markets – must have a way to interpret uncertainty. The investor rationality and market efficiency literature utilizes a methodology inadequate to address this fact, so I supplement it with the perspectives of epistemology, economic sociology, neuroscience, cognitive science, and philosophy of mind. This approach suggests that what is commonly viewed as market “inefficiency” is not necessarily caused by investor irrationality, but rather by the inherent nature of the epistemological problem faced by …

Differentiable Cortical Networks For Inferences Concerning People’S Intentions Versus Physical Causality, Robert Mason, Marcel Just

Marcel Adam Just

No abstract provided.

Autonomy Of Lower-Level Perception From Global Processing In Autism: Evidence From Brain Activation And Functional Connectivity, Yanni Liu, Vladimir L. Cherkassky, Nancy J. Minshew, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Inter-Regional Brain Communication And Its Disturbance In Autism, Sarah E. Schipul, Timothy A. Keller, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Quantitative Modeling Of The Neural Representation Of Objects: How Semantic Feature Norms Can Account For Fmri Activation, Kai-Min Kevin Chang, Tom Mitchell, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Individual Differences In The Neural Basis Of Causal Inferencing, Chantel S. Prat, Robert A. Mason, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Commonality Of Neural Representations Of Words And Pictures, Svetlana V. Shinkareva, Vincente L. Malave, Robert A. Mason, Tom M. Mitchell, Marcel Adam Just

Marcel Adam Just

No abstract provided.

The Neural Basis Of Deictic Shifting In Linguistic Perspective-Taking In High-Functioning Autism, Akiko Mizuno, Yanni Liu, Diane L. Williams, Timothy A. Keller, Nancy J. Minshew, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Exploring The Neural Dynamics Underpinning Individual Differences In Sentence Comprehension, Chantel S. Prat, Marcel Adam Just

Marcel Adam Just

No abstract provided.