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 :
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