Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"learning and cognition"”.
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Value of Machine Learning and Cognition on Target Tracking
… spectrum has been opened to civilian and industrial access in the United States. Because of this, high priority users such as the military and government need to develop systems that can adapt to the surrounding spectral environment which will suddenly be filled with new users. This …
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Design and Implementation of a Neocortical Visualization Tool
A core goal for neuroscientists is to understand the physiological processes behind memory, learning, and cognition. By developing computational models of the brain, scientists can simulate how neurons interact with each other and study these interactions more closely. However, these simulations …
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Profiling hotspots of DNA breaks and learning-induced gene expression in the mouse brain
Neuronal activity generates DNA double-strand breaks (DSBs) in the brain. Topoisomerase IIb (TOP2B), important for relieving transcription-associated DNA supercoiling, was implicated as the source of these neuronal activity-induced DSBs, facilitating rapid transcriptional induction of immediate …
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Rule -Based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction
Rule-based evolutionary online learning systems, often referred to as Michigan-style learning classifier systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the …
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Cognitive Structural Change and the Technological Design Process
… challenges from international competition and domestic demands for a technologically literate workforce, pressure is growing on the educational system to produce students that are literate in science, technology, engineering, and mathematics (STEM). Integrative STEM education utilizes …
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Classifying and Predicting Dynamics with Bioinspired Machine Learning
… the error between the neural network’s output and what we know should be the true output for given inputs used during training. However, much of the real world is governed by non-stationary dynamics, wherein the underlying statistics of the dynamics drift in time in an arbitrary way. When an …
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From Animals to Algorithms: Comparative Psychology for the Study of Artificial Intelligence
… tasks such as playing games, recognising images, and producing human-like language. The problem is, we often cannot explain nor predict their behaviour. In this interdisciplinary dissertation, I argue that a comparative psychological approach can help. Comparative psychologists have created …
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Brain and Cognitive Consequences of Early-Life Immune System Challenge in a Songbird
Cognition, defined as the mechanism by which an animal acquires, processes, stores, and uses information present in the environment, is a trait that is sensitive to developmental conditions. Existing research supports the idea that the ability to develop and maintain cognitive abilities depends on …
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An artificial skeletal muscle for use in pediatric rehabilitation robotics
… experience is critical in early childhood for learning and cognition. By exploring object properties and relations among objects, infants develop visual-motor coordination, spatial skills, memory, language, cognition, and problem solving abilities. Such development and performance of activities …
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Der Einfluss von Kognition und Stresserleben auf die Entscheidungsfindung und deren Rolle für Alkoholabhängigkeit
… Intelligenzkomponente) an gesunden Probanden zu untersuchen. Dabei steht zu Beginn die Sicherung der Konstruktvalidität zwischen den bislang oft synonym verwendeten Begriffen modellfrei ~ habituell, bzw. modellbasiert ~ zielgerichtet im Fokus. Darauf aufbauend soll dann insbesondere der …