caa a22 4500 469041552 CHVBK 20180323132812.0 cr unu---uuuuu 170328e19920301xx s 000 0 eng 10.1007/BF02875373 doi (NATIONALLICENCE)springer-10.1007/BF02875373 Kak Subhash Department of Electrical and Computer Engineering, Louisiana State University, 70803-5901, Baton Rouge, LA, USA aut State generators and complex neural memories [Elektronische Daten] [Subhash Kak] The mechanism of self-indexing for feedback neural networks that generates memories from short subsequences is generalized so that a single bit together with an appropriate update order suffices for each memory. This mechanism explains how stimulating an appropriate neuron can recall a memory. Although information is distributed in this model, yet our self-indexing mechanism makes it appear localized. Also a new complex valued neuron model is presented to generalize McCulloch-Pitts neurons. Indian Academy of Sciences, 1993 Neural networks nationallicence non-linear systems nationallicence iterated maps nationallicence 87.30 nationallicence 64.60 nationallicence 75.10 nationallicence Pramana Springer India 38/3(1992-03-01), 271-278 0304-4289 38:3<271 1992 38 12043 https://doi.org/10.1007/BF02875373 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02875373 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Kak Subhash Department of Electrical and Computer Engineering, Louisiana State University, 70803-5901, Baton Rouge, LA, USA aut NATIONALLICENCE 773 0- Pramana Springer India 38/3(1992-03-01), 271-278 0304-4289 38:3<271 1992 38 12043 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer