A Granule-Pyramidal Cell Model for Learning and Predicting Trajectories Online
| Autor: | Abdelwahed, Mehdi, Kuras, Ihor, Melnyk, Artem, Andry, Pierre |
|---|---|
| Přispěvatelé: | Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING [SCCO.NEUR]Cognitive science/Neuroscience ComputingMilieux_MISCELLANEOUS [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] [SPI.AUTO]Engineering Sciences [physics]/Automatic |
| Zdroj: | Artifical Neural Networks and Machine Learning - ICANN 2017 Artifical Neural Networks and Machine Learning - ICANN 2017, Sep 2017, Alghero, Italy |
| Popis: | International audience |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|