Operation and modeling of the MOS transistor
Operation and modeling of the MOS transistor
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Winner-take-all networks of O(N) complexity
Advances in neural information processing systems 1
Design of Complementary Low-Power CMOS Architectures for Looser-take-all and Winner-take-all
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
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Many neural-like algorithms currently under study support classification tasks. Several of these algorithms base their functionality on LVQ-like procedures to find locations of centroids in the data space, and on kernel (or radial-basis) functions centered on these centroids to approximate functions or probability densities. A generic analog chip could implement in a parallel way all basic functions found in these algorithms, permitting construction of a fast, portable classification system.