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Full-Text Articles in Computational Neuroscience
Cortical Representation Of Learning Social Interactions In Freely Moving Non-Human Primates, Melissa Franch
Cortical Representation Of Learning Social Interactions In Freely Moving Non-Human Primates, Melissa Franch
Dissertations & Theses (Open Access)
The motivation and capacity to be social is necessary for human survival. Successful learning of complex, prosocial behavior stems from the ability to perceive and respond to visual cues, such as the body language and facial expressions, from others in our environment. This dependence on visual information to guide social interaction is especially true for humans and non-human primates. Although recent studies in primate neurophysiology discovered neurons that can encode socially relevant variables, like reward and social actions, the underlying neural mechanisms of learning advanced social concepts, such as cooperation, are not well understood. Further, previous work has identified …
Neural Tabula Rasa: Foundations For Realistic Memories And Learning, Patrick R. Perrine
Neural Tabula Rasa: Foundations For Realistic Memories And Learning, Patrick R. Perrine
Master's Theses
Understanding how neural systems perform memorization and inductive learning tasks are of key interest in the field of computational neuroscience. Similarly, inductive learning tasks are the focus within the field of machine learning, which has seen rapid growth and innovation utilizing feedforward neural networks. However, there have also been concerns regarding the precipitous nature of such efforts, specifically in the area of deep learning. As a result, we revisit the foundation of the artificial neural network to better incorporate current knowledge of the brain from computational neuroscience. More specifically, a random graph was chosen to model a neural system. This …
Individual Differences In Structure Learning, Philip Newlin
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 …
Effects Of Weak Electric Fields On Long-Term Synaptic Plasticity, Gregory Kronberg
Effects Of Weak Electric Fields On Long-Term Synaptic Plasticity, Gregory Kronberg
Dissertations and Theses
Transcranial direct current stimulation (tDCS) is a technique where a weak direct electrical current is applied to the scalp with the goal of stimulating the brain. There is tremendous interest in the use of tDCS for treating brain disorders and improving brain function. However, the effects of tDCS have been highly variable across studies, leading to a debate over its efficacy. A major challenge is therefore to design tDCS protocols that yield predictable effects, which will require a better understanding of its basic mechanisms of action. One commonly discussed mechanism is that tDCS may alter synaptic plasticity, but the biophysics …