Search for dissertations about: "Brain Like Computing"
Showing result 1 - 5 of 8 swedish dissertations containing the words Brain Like Computing.
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1. Self-Knowledge/Self-Regulation/Self-Control: A Ubiquitous Computing Perspective
Abstract : This thesis is about self-knowledge, self-regulation and self-control. All three of these terms are easily understandable, and apply to situations in our daily lives (like misjudging one’s own competence at retiling the bathroom floor, or feeling the anxiety and thrill of doing unsupervised work, or guiltily hitting the snooze-button for the fifth time, and missing half a day of school). READ MORE
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2. Event-Driven Architectures for Heterogeneous Neuromorphic Computing Systems
Abstract : Mixed-signal neuromorphic processors have brain-like organization and device physics optimized for emulation of spiking neural networks (SNNs), and offer an energy-efficient alternative for implementing artificial intelligence in applications where deep learning based on conventional digital computing is unfeasible or unsustainable. However, efficient use of such hardware requires appropriate configuration of its inhomogeneous, analog neurosynaptic circuits, with methods for sparse, spike-timing-based information encoding and processing. READ MORE
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3. Computational Models in Deep Brain Stimulation : Patient‐Specific Simulations, Tractography, and Group Analysis
Abstract : Deep brain stimulation (DBS) is an established method for symptom relief in movement disorders like Parkinson’s disease, essential tremor (ET), and dystonia. The therapy is based on implanting an electrode with four contacts in the deep brain structures where it provides electrical stimulation, mainly impacting the nerve tracts. READ MORE
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4. SiLago: Enabling System Level Automation Methodology to Design Custom High-Performance Computing Platforms : Toward Next Generation Hardware Synthesis Methodologies
Abstract : .... READ MORE
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5. An Attractor Memory Model of Neocortex
Abstract : This thesis presents an abstract model of the mammalian neocortex. The model was constructed by taking a top-down view on the cortex, where it is assumed that cortex to a first approximation works as a system with attractor dynamics. READ MORE