Sökning: "Örjan Ekeberg"
Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Örjan Ekeberg.
1. Large-scale simulation of neuronal systems
Sammanfattning : Biologically detailed computational models of large-scale neuronal networks have now become feasible due to the development of increasingly powerful massively parallel supercomputers. We report here about the methodology involved in simulation of very large neuronal networks. LÄS MER
2. 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
3. Computer Simulation of the Neural Control of Locomotion in the Cat and the Salamander
Sammanfattning : Locomotion is an integral part of a whole range of animal behaviours. The basic rhythm for locomotion in vertebrates has been shown to arise from local networks residing in the spinal cord and these networks are known as central pattern generators (CPG). LÄS MER
4. Subsystems of the basal ganglia and motor infrastructure
Sammanfattning : The motor nervous system is one of the main systems of the body and is our principle means ofbehavior. Some of the most debilitating and wide spread disorders are motor systempathologies. In particular the basal ganglia are complex networks of the brain that control someaspects of movement in all vertebrates. LÄS MER
5. Reinforcement Learning of Locomotion based on Central Pattern Generators
Sammanfattning : Locomotion learning for robotics is an interesting and challenging area in which the movement capabilities of animals have been deeply investigated and acquired knowledge has been transferred into modelling locomotion on robots. What modellers are required to understand is what structure can represent locomotor systems in different animals and how such animals develop various and dexterous locomotion capabilities. LÄS MER