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Full-Text Articles in Neuroscience and Neurobiology
Deep-Learning-Based Multivariate Pattern Analysis (Dmvpa): A Tutorial And A Toolbox, Karl M. Kuntzelman, Jacob M. Williams, Phui Cheng Lim, Ashtok Samal, Prahalada K. Rao, Matthew R. Johnson
Deep-Learning-Based Multivariate Pattern Analysis (Dmvpa): A Tutorial And A Toolbox, Karl M. Kuntzelman, Jacob M. Williams, Phui Cheng Lim, Ashtok Samal, Prahalada K. Rao, Matthew R. Johnson
Center for Brain, Biology, and Behavior: Faculty and Staff Publications
In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and other neuroimaging methodologies. In a similar time frame, “deep learning” (a term for the use of artificial neural networks with convolutional, recurrent, or similarly sophisticated architectures) has produced a parallel revolution in the field of machine learning and has been employed across a wide variety of applications. Traditional MVPA also uses a form of machine learning, but most commonly with much simpler techniques based on …
Mechanisms Of Value-Biased Prioritization In Fast Sensorimotor Decision Making, Kivilcim Afacan-Seref
Mechanisms Of Value-Biased Prioritization In Fast Sensorimotor Decision Making, Kivilcim Afacan-Seref
Dissertations and Theses
In dynamic environments, split-second sensorimotor decisions must be prioritized according to potential payoffs to maximize overall rewards. The impact of relative value on deliberative perceptual judgments has been examined extensively, but relatively little is known about value-biasing mechanisms in the common situation where physical evidence is strong but the time to act is severely limited. This research examines the behavioral and electrophysiological indices of how value biases split-second perceptual decisions and the possible mechanisms underlying the process. In prominent decision models, a noisy but statistically stationary representation of sensory evidence is integrated over time to an action-triggering bound, and value-biases …
Examination Of Neurocorrelates Of Mild Traumatic Brain Injury In Young Adults, Rachel J. Raucci
Examination Of Neurocorrelates Of Mild Traumatic Brain Injury In Young Adults, Rachel J. Raucci
Neuroscience Honors Papers
In recent years, there has been an upswing in the number of concussion diagnoses per year in the United States, particularly in young athletes with still-developing brains. Accompanying this recent trend is an increased amount of research on concussions and their long-term impacts. This ongoing research project collects and compares data from concussed and non-concussed individuals using various neuropsychological batteries, self-report surveys and participants’ EEG readings. Data analysis of the results from 51 participants indicates that previously concussed individuals differ from their non-concussed counterparts. Specifically, individuals who have suffered a concussion exhibit specific and occasionally idiosyncratic deficits in executive control …
Brain Activity And Medical Diagnosis: An Eeg Study, Laila M. Ribas, Fábio T. Rocha, Neli R. Ortega, Armando F. Rocha, Eduardo Massad
Brain Activity And Medical Diagnosis: An Eeg Study, Laila M. Ribas, Fábio T. Rocha, Neli R. Ortega, Armando F. Rocha, Eduardo Massad
Armando F Rocha
Despite new brain imaging techniques that have improved the study of the underlying processes of human decision-making, to the best of our knowledge, there have been very few studies that have attempted to investigate brain activity during medical diagnostic processing.The main purpose of this paper was to investigate brain electroencephalography (EEG) activity associated with diagnostic decision-making in the realm of veterinary medicine using X-rays as a fundamental auxiliary test. The principal component analysis revealed four patterns that accounted for 85% of the total variance in the EEG activity recorded while veterinary doctors read a clinical history, examined an X-ray image …