Sökning: "neural activation"
Visar resultat 1 - 5 av 223 avhandlingar innehållade orden neural activation.
1. Voltage sensor activation and modulation in ion channels
Sammanfattning : Voltage-gated ion channels play fundamental roles in neural excitability, they are for instance responsible for every single heart beat in our bodies, and dysfunctional channels cause disease that can be even lethal. Understanding how the voltage sensor of these channels function is critical for drug design of compounds targeting neuronal excitability. LÄS MER
2. Mind your Language, All Right? Performance-dependent neural patterns of language
Sammanfattning : The main aim of this dissertation was to investigate the difference in neural language patternsrelated to language ability in healthy adults. The focus lies on unraveling the contributions of theright‐hemispheric homologues to Broca’s area in the inferior frontal gyrus (IFG) and Wernicke’s areain the posterior temporal and inferior parietal lobes. LÄS MER
3. Computer Simulation of the Neural Control of Locomotion in the Cat
Sammanfattning : Locomotion is one of the most important behaviours and requires interaction between sensors at various levels of the nervous system and the limb muscles of an animal. The basic neural rhythm for locomotion in mammals has been shown to arise from local neural networks residing in the spinal cord and these networks are known as central pattern generators (CPGs). LÄS MER
4. Nanoparticle-based drug delivery systems for neural interfaces - a novel approach for improved biocompatibility
Sammanfattning : The overall purpose of this thesis was to reduce brain tissue responses around implanted microelectrodes using a pharmacological strategy. One of the main aims was to develop and evaluate drug delivery systems that allow local administration of anti-inflammatory pharmaceutics. LÄS MER
5. Neural Network Architecture Design : Towards Low-complexity and Scalable Solutions
Sammanfattning : Over the past few years, deep neural networks have been at the center of attention in machine learning literature thanks to the advances in computational capabilities of modern graphical processing units (GPUs). This progress has made it possible to train large scale neural networks by using thousands, and even millions, of training samples to achieve outstanding estimation accuracy in various applications that were not simply possible before. LÄS MER
