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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3
Category Theory Applied to Neural Modeling and Graphical Representations
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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Michael J. Healy, "Category Theory Applied to Neural Modeling and Graphical Representations," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 3, pp. 3035, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.861277,
author = {Michael J. Healy},
title = {Category Theory Applied to Neural Modeling and Graphical Representations},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {3},
year = {2000},
issn = {1098-7576},
pages = {3035},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861277},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - Category Theory Applied to Neural Modeling and Graphical Representations
SN - 1098-7576
SP
EP
A1 - Michael J. Healy,
PY - 2000
VL - 3
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Michael J. Healy, University of Washington
Category theory can be applied to mathematically model the semantics of cognitive neural systems. Here, we employ co-limits, functors and natural transformations to model the implementation of concept hierarchies in neural networks equipped with multiple sensors.
Citation:
Michael J. Healy, "Category Theory Applied to Neural Modeling and Graphical Representations," ijcnn, vol. 3, pp.3035, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000
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