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A Biologically Inspired Adaptive Working Memory for Robots.
Marjorie Skubic
David C. Noelle
D. Mitch Wilkes
Kazuhiko Kawamura
James M. Keller
Published in:
AAAI Technical Report (5) (2004)
Keyphrases
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biologically inspired
working memory
humanoid robot
cognitive load
computational model
information processing
cognitive architecture
focus of attention
receptive fields
biologically plausible
long term memory
biological systems
mobile robot
robotic systems
individual differences
colour image segmentation
short term memory
working memory capacity
learning rules
functional connectivity
prefrontal cortex
real valued
multi modal
artificial neural networks
spiking neural networks
data analysis
reinforcement learning
database systems
e learning