TY - GEN
T1 - Multi-layer Cortical Learning Algorithms
AU - Agrawal, Pulin
AU - Franklin, Stan
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/23
Y1 - 2014/1/23
N2 - Hierarchical Temporal Memory (HTM) is a model with hierarchically connected modules doing spatial and temporal pattern recognition, as described by Jeff Hawkins in his book entitled On Intelligence. Cortical Learning Algorithms (CLAs) comprise the second implementation of HTM. CLAs are an attempt by Numenta Inc. to create a computational model of perceptual analysis and learning inspired by the neocortex in the brain. In its current state only an implementation of one isolated region has been completed. The goal of this paper is to test if adding a second higher level region implementing CLAs to a system with just one region of CLAs, helps in improving the prediction accuracy of the system. The LIDA model (Learning Intelligent Distribution Agent - LIDA is a cognitive architecture) can use such a hierarchical implementation of CLAs for its Perceptual Associative Memory.
AB - Hierarchical Temporal Memory (HTM) is a model with hierarchically connected modules doing spatial and temporal pattern recognition, as described by Jeff Hawkins in his book entitled On Intelligence. Cortical Learning Algorithms (CLAs) comprise the second implementation of HTM. CLAs are an attempt by Numenta Inc. to create a computational model of perceptual analysis and learning inspired by the neocortex in the brain. In its current state only an implementation of one isolated region has been completed. The goal of this paper is to test if adding a second higher level region implementing CLAs to a system with just one region of CLAs, helps in improving the prediction accuracy of the system. The LIDA model (Learning Intelligent Distribution Agent - LIDA is a cognitive architecture) can use such a hierarchical implementation of CLAs for its Perceptual Associative Memory.
UR - http://www.scopus.com/inward/record.url?scp=84988267505&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988267505&partnerID=8YFLogxK
U2 - 10.1109/CCMB.2014.7020707
DO - 10.1109/CCMB.2014.7020707
M3 - Conference contribution
AN - SCOPUS:84988267505
T3 - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CCMB 2014: 2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Proceedings
SP - 141
EP - 147
BT - IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CCMB 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, CCMB 2014
Y2 - 9 December 2014 through 12 December 2014
ER -