DocumentCode
2778334
Title
Stimulus dependent habituation in a bottom - up brain inspired model of learning and memory
Author
Ramanathan, Kiruthika ; Battacharya, Madhurima ; Vadakkepat, Prahlad
Author_Institution
Data Storage Inst., Agency for Sci., Technol. & Res, Singapore, Singapore
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
7
Abstract
This paper explores how stimulus-dependent habituation can be integrated to modulate a cognitively inspired bottom up learning model of semantic representation. We first describe the equations governing habituation and associative habituation and describe how to integrate it to a bottom up hierarchical habituation model. Habituation is used to modulate the weights between the parent and children in the hierarchy. We investigate the behavior of habituation in the hierarchy, the properties of habituation and recovery in the model and show that while habituation has no detrimental effect on clustering, it reduces the number of neurons required for representation and therefore propose it as an important component of cognitively inspired memory systems.
Keywords
cognition; learning (artificial intelligence); neural nets; associative habituation; bottom-up brain inspired model; clustering; cognitively inspired bottom-up learning model; cognitively inspired memory systems; neurons; semantic representation; stimulus dependent habituation; Brain modeling; Computational modeling; Equations; Mathematical model; Neurons; Semantics; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location
Brisbane, QLD
ISSN
2161-4393
Print_ISBN
978-1-4673-1488-6
Electronic_ISBN
2161-4393
Type
conf
DOI
10.1109/IJCNN.2012.6252832
Filename
6252832
Link To Document