Sökning: "neuroner"
Visar resultat 1 - 5 av 78 uppsatser innehållade ordet neuroner.
1. Optical Communication using Nanowires and Molecular Memory Systems
Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/SynkrotronljusfysikSammanfattning : Neuromorphic computational networks, inspired by biological neural networks, provide a possible way of lowering computational energy cost, while at the same time allowing for much more sophisticated devices capable of real-time inferences and learning. Since simulating artificial neural networks on conventional computers is particularly inefficient, the development of neuromorphic devices is strongly motivated as the reliance on AI-models increases. LÄS MER
2. Glucose Sensing and Differentiating Systems with Organic Electrochemical Neurons : A Future Outlook for Type 2 Diabetes
Master-uppsats, Linköpings universitet/Institutionen för teknik och naturvetenskapSammanfattning : In recent years great advances in the field of biomedical engineering and organic electronics have been achieved. One promising application would be the regulation of blood glucose concentration in type 2 diabetes patients. This application would eliminate medication and would improve the standard of life. LÄS MER
3. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. LÄS MER
4. Evaluating Brain-Inspired Machine Learning Models for Time Series Forecasting: A Comparative Study on Dynamical Memory in Reservoir Computing and Neural Networks
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Brain-inspired computing is a promising research field, with potential to encouragebreakthroughs within machine learning and enable us to solve complex problems in a moreefficient way. This study aims to compare the performance of brain-like machine learningalgorithms for time series forecasting. LÄS MER
5. Characterization of diazepam binding inhibitor as a structure-function tool for human ɣ-aminobutyric acid-A receptors
Master-uppsats, KTH/ProteinvetenskapSammanfattning : Gammaaminosmörsyrareceptorer typ A (GABAAR) är pentameriska ligandstyrda kloridkanaler som uppvisar neurohämmande egenskaper. Därmed är de primära läkemedelsmål för flera ångestdämpande och lugnande läkemedel som används för att minska förekomsten av aktionspotential i neuroner. LÄS MER