Multilayer in-place learning networks for modeling functional layers in the laminar cortex

Neural Networks

Volumn 21, Issue 2-3, 2008, Pages 150-159

  Weng, Juyang ^a,b   Luwang, Tianyu ^a   Lu, Hong ^a   Xue, Xiangyang ^a  

^a FUDAN UNIVERSITY   (China)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Abstraction; Cortex structure; Feature extraction; Laminar cortex; Multi task learning; Regression; Representation; Supervised learning; Unsupervised learning

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; FUNCTIONAL ANALYSIS; LEARNING ALGORITHMS;

HIGH-DIMENSIONAL FUNCTION; LEARNING NETWORKS;

LEARNING SYSTEMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CORTEX; BRAIN FUNCTION; COMPUTER SIMULATION; LEARNING ALGORITHM; MACHINE LEARNING; MENTAL DEVELOPMENT; PRIORITY JOURNAL; THALAMUS INTRALAMINAR NUCLEUS;

ANIMALS; CEREBRAL CORTEX; COMPUTER SIMULATION; HUMANS; LEARNING; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER);

EID: 40649106904     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2007.12.048     Document Type: Article

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