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Articles 1 - 5 of 5
Full-Text Articles in Systems Neuroscience
Evaluating The Potential Of Using Eeg To Monitor Cognitive Workload In Simulated Suborbital Flight, Erik Seedhouse
Evaluating The Potential Of Using Eeg To Monitor Cognitive Workload In Simulated Suborbital Flight, Erik Seedhouse
Journal of Aviation/Aerospace Education & Research
Mental workload can be assessed using electrophysiological measures of brain activity, such as electroencephalography (EEG). EEG signals reveal cortical electrical activity. This cortical activity was recorded using specialized headsets. The focus of this research was to study cognitive performance (CP) in four pilots during simulated suborbital flights under nominal day and night profiles and under contingency day and night profiles. A 14-channel EMOTIV EEG headset measured the participants' brain activity while they flew simulated flights in a Suborbital Spaceflight Simulator (SSFS). Several sessions of EEG data were recorded from each subject, and feature extraction was applied. Data revealed that real-time …
Meta-Analytic Connectivity Modelling Of Healthy Swallowing, Chris R. Tilton
Meta-Analytic Connectivity Modelling Of Healthy Swallowing, Chris R. Tilton
Honors Theses and Capstones
A quantitative, voxel-wise meta-analysis was performed to investigate the brain regions involved in healthy human swallowing. Studies included in the meta-analysis (1) examined water swallowing, saliva swallowing, or both, (2) included healthy, normal subjects, and (3) reported stereotaxic brain activation coordinates in standard space. Following these criteria, a systematic literature review identified 8 studies that met the criteria. An activation likelihood estimation (ALE) meta-analysis and meta-analytic connectivity modelling (MACM) analysis were performed with BrainMap software. Ten clusters with high activation likelihood were found in the bilateral precentral gyri, right insula, left declive, right medial frontal gyrus, right dorsal nucleus of …
Open Neuroscience Initiative, Austin Lim
Open Neuroscience Initiative, Austin Lim
College of Science and Health Full Text Publications
The Open Neuroscience Initiative is a free-to-use textbook
This project began as a means to overcoming the financial burden that face undergraduate neuroscience students when buying textbooks. By compiling and writing a completely free-to-access textbook that covers the foundations of a typical college introduction to neuroscience course, students would have one less obstacle to overcome in their educational career, allowing them to focus their valuable time and attention on learning rather than finances. To make this project a reality, I began with a humble tweet in May 2019 that managed to gain a tiny bit of traction among the neuroscience …
“My Logic Is Undeniable”: Replicating The Brain For Ideal Artificial Intelligence, Samuel C. Adams
“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 …
Characterizing The Temporal Dynamics In Functional Connectivity Measured With Fmri, Joshua Swearingen
Characterizing The Temporal Dynamics In Functional Connectivity Measured With Fmri, Joshua Swearingen
MUSC Theses and Dissertations
There is a considerable and growing interest in the organization and development of neural function at the scale of the entire brain, particularly from activity observed in fluctuations in the blood oxygen level dependent (BOLD) signal in functional magnetic resonance imaging (fMRI). This activity reliably organizes into sub-networks, whether obtained from subjects at rest or from those involved in various perceptual or cognitive tasks. While these networks have often been identified and studied, the precise dynamics involved in their interactions as well as the relationship between organization found in both resting and task-based activity are not well understood. Here I …