Home > Search Results: Preuss, Michal
Search:
Search Tips :: Advanced Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Plausible computational model of a rodent behaviour
 Preuss, Michal ; Brom, Cyril (advisor) ; Vomlelová, Marta (referee)
Two different computational models are presented. These models simulate behaviour of a rat during a laboratory experiment focused on spatial cognition. First model arises from principles of reinforcement learning while second represents a method usual for models in computational neuroscience. The two models are compared with the results of laboratory experiments as well as with each other. Assets of both models and the possibility of combining the two methods are then discussed.
Detailed record
A Computational Model of an Animal Designed for High-School Education
 Preuss, Michal ; Brom, Cyril (advisor) ; Kadlec, Rudolf (referee)
This work describes a computational model, which can be used to simulate learning in animals. Model is based on a variation of q-learning and can imitate general types of learning, such as classical and operant conditioning. It differs from similar computational models in that it is designed solely for use in educational software. Therefore the simulation of learning is rather fast, for student to be able to see the consequences of his own actions during a short training session. Main topic of this work lies in description of the model, analysis of its behavior and comparison with some other computational models. All of this takes place in the specific context of three virtual animals: a dog, a lemur and a parrot.
Detailed record
Plausible computational model of a rodent behaviour
 Preuss, Michal ; Vomlelová, Marta (referee) ; Brom, Cyril (advisor)
Two different computational models are presented. These models simulate behaviour of a rat during a laboratory experiment focused on spatial cognition. First model arises from principles of reinforcement learning while second represents a method usual for models in computational neuroscience. The two models are compared with the results of laboratory experiments as well as with each other. Assets of both models and the possibility of combining the two methods are then discussed.
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English