Sökning: "Brain Like Computing"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Brain Like Computing.

  1. 1. Self-Knowledge/Self-Regulation/Self-Control: A Ubiquitous Computing Perspective

    Författare :Lars Hall; Kognitionsvetenskap; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; pervasive computing; affective computing; persuasive computing; Psychology; Psykologi; ubiquitous computing; computer-mediated extrospection; precommitment; distributed motivation; distributed cognition; neurofeedback; biofeedback; metacognition; brain-imaging; learning strategies; emotion regulation; mental strategies; verbal report; implicit learning; consciousness; introspection; self-control; Self-knowledge; self-regulation;

    Sammanfattning : 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). LÄS MER

  3. 2. Event-Driven Architectures for Heterogeneous Neuromorphic Computing Systems

    Författare :Mattias Nilsson; Fredrik Sandin; Foteini Liwicki; Jerker Delsing; Chiara Bartolozzi; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Neuromorphic computing; Mixed-signal; Low-power; Non-von Neumann; Spatiotemporal pattern recognition; System integration; Cyber-Physical Systems; Cyberfysiska system;

    Sammanfattning : 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. LÄS MER

  4. 3. Computational Models in Deep Brain Stimulation : Patient‐Specific Simulations, Tractography, and Group Analysis

    Författare :Teresa Nordin; Karin Wårdell; Simone Hemm-Ode; Johannes D. Johansson; Harith Akram; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Anisotropy; Deep brain stimulation DBS ; Finite element method FEM ; Patient‐specific simulation; Probabilistic stimulation maps PSM ; Tractography;

    Sammanfattning : 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. LÄS MER

  5. 4. SiLago: Enabling System Level Automation Methodology to Design Custom High-Performance Computing Platforms : Toward Next Generation Hardware Synthesis Methodologies

    Författare :Nasim Farahini; Ahmed Hemani; Anders Lansner; Lu Zhonghai; Arvind Mithal; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System Level Synthesis; High Level Synthesis; VLSI Design Methodology; Brain-like Computation; Neuromorphic Hardware; Address Generation; Thread Level Parallelism; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : .... LÄS MER

  7. 5. An Attractor Memory Model of Neocortex

    Författare :Christopher Johansson; Anders Lansner; Stefano Fusi; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Attractor Neural Networks; Cerebral Cortex; Neocortex; Brain Like Computing; Hypercolumns; Minicolumns; BCPNN; Parallel Computers; Autoassociative Memory; Computer science; Datalogi;

    Sammanfattning : 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. LÄS MER