- Tytuł:
- Modeling learning on dynamic behaviour of synapses
- Autorzy:
-
Fernando, S.
Cho, Y. I.
Nakamura, Y.
Matsuzaki, S.
Marasinghe, A. - Powiązania:
- https://bibliotekanauki.pl/articles/333128.pdf
- Data publikacji:
- 2009
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
nauczanie
krótkoterminowa plastyczność
długoterminowa plastyczność
plastyczność synaptyczna
learning
short-term plasticity
long-term plasticity
agent systems - Opis:
- Learning is a process involved in multiple timescales. As per biology, changes which last from milliseconds to seconds and hours to days are the main mediators for the formation of short-term and long-term memory. It is obvious that, memory formation is neither static nor it is restricted into a one phase of life. Every step we keep in our life, even it succeed or fail or no matter what happen, we learn from them and acquire invaluable knowledge on that, which makes us easy manipulation on similar events in future. Thus continuous learning in a dynamic environment is a necessary qualification for the researches which are interested in studying phenomena, such as addiction, stress, noise, etc on such a dynamic learning environments. This research proposes a new approach of modelling our nervous system with the intention of implementing learning on dynamic environment.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2009, 13; 175-180
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł