Search for dissertations about: "Neural"
Showing result 1 - 5 of 1474 swedish dissertations containing the word Neural.
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1. Uncertainties in Neural Networks : A System Identification Approach
Abstract : In science, technology, and engineering, creating models of the environment to predict future events has always been a key component. The models could be everything from how the friction of a tire depends on the wheels slip to how a pathogen is spread throughout society. READ MORE
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2. Silicon neural interfaces -Design and biomedical aspects-
Abstract : This thesis covers the development of a silicon neural interface, with focus on silicon sieve electrode fabrication, design, nerve regeneration, signal recording and biocompatibility. A study of how the via hole size and transparency of the perforated sieve membrane influences the nerve regeneration is presented together with a study on soft tissue responses to planar and porous silicon. READ MORE
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3. Infrared Neural Modulation: Photothermal Effects on Cortex Neurons Using Infrared Laser Heating
Abstract : It would be of great value to have a precise and non-damaging neuromodulation technique in the field of basic neuroscience research and for clinical treatment of neurological diseases. Infrared neural modulation (INM) is a new modulation modality developed in the last decade, which uses pulsed or continues infrared (IR) light with a wavelength of 1200 to 2200 nm to directly alter neural signals. READ MORE
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4. SACRED or NEURAL? : Neuroscientific Explanations of Religious Experience: A Philosophical Evaluation
Abstract : Neuroscientists place different explanations at our disposal of what religious experiences are. Some neuroscientists explain religious experiences in terms of consequences of a damaged, malfunctioning or mentally deranged brain. Others explain them in terms of existential crises. READ MORE
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5. Artificial neural networks : applications in morphometric and landscape features analysis
Abstract : In this thesis a semi-automatic method is developed to analyze morphometric features and landscape elements based on Self Organizing Map (SOM) as a unsupervised Artificial Neural Network algorithm. Analysis and parameterization of topography into simple and homogenous land elements (landform) can play an important role as basic information in planning processes and environmental modeling. READ MORE