DocumentCode
1816691
Title
Artificial learning
Author
Rossi, Carlos Albedo ; Bodnar, Ladislao
Author_Institution
Chem. Dept., Nat. Technol. Univ., Buenos Aires, Argentina
Volume
1
fYear
1999
fDate
1999
Firstpage
117
Abstract
Superior cognitive process simulation have been and always will be the greatest challenge of computing science, either as a help tool to understand brain functions or to achieve any progress in software and hardware developments that would allow to enhance information management by means of computers. One of the biggest secrets kept by brain information processes is the high associativity, reorganization of neuronal assembly to maintain data processing, and the cause of the re-learning is higher than the original learning of any kind of information. These features are based in the neuronal activity at neuro-physiological level and its adaptation to the environment in which behavior is received, processed and executed as answers to stimulus that are received. In the named decade of brain, within the main three lines of investigation (research), our work would rather be involved with the third or creation of artificial brain systems, trying to explain some of the already mentioned features
Keywords
brain models; content-addressable storage; learning (artificial intelligence); neural nets; neurophysiology; artificial learning; associativity; brain model; computing science; information processing; neuronal activity; neuronal assembly; neurophysiology; reorganization; Assembly; Brain modeling; Chemical processes; Chemical technology; Computational modeling; Computer simulation; Hardware; Information management; Neurons; Software tools;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.831467
Filename
831467
Link To Document