{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T01:30:39Z","timestamp":1744248639133},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"supp01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[1992,1]]},"abstract":"<jats:p> A simple dynamical scheme for Attractor Neural Networks with non-monotonic three state effective neurons is discussed. For the unsupervised Hebb learning rule, we give some basic numerical results which are interpreted in terms of a combinatorial task realized by the dynamical process (dynamical selection of optimal subspaces). An analytical estimate of optimal performance is given by resorting to two different simplified versions of the model. We show that replica symmetry breaking is required since the replica symmetric solutions are unstable. <\/jats:p>","DOI":"10.1142\/s0129065792000401","type":"journal-article","created":{"date-parts":[[2004,11,23]],"date-time":"2004-11-23T22:29:42Z","timestamp":1101248982000},"page":"71-77","source":"Crossref","is-referenced-by-count":4,"title":["MEMORY RETRIEVAL IN OPTIMAL SUBSPACES"],"prefix":"10.1142","volume":"03","author":[{"given":"G.","family":"Boffetta","sequence":"first","affiliation":[{"name":"Dip. di Fisica Generale e INFN, Universit\u00e1 di Torino, Via P.Giuria, 1, 10125 Torino, Italy"}]},{"given":"R.","family":"Monasson","sequence":"additional","affiliation":[{"name":"Laboratoire de Physique Th\u00e9orique, E.N.S., 24 rue Lhomond, 75231 Paris Cedex 05, France"}]},{"given":"R.","family":"Zecchina","sequence":"additional","affiliation":[{"name":"Dip. di Fisica Teorica e INFN, Universit\u00e1 di Torino, Via P.Giuria 1, 10125 Torino, Italy"},{"name":"Dip. di Fisica, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065792000401","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T12:22:13Z","timestamp":1565180533000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065792000401"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,1]]},"references-count":0,"journal-issue":{"issue":"supp01","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1992,1]]}},"alternative-id":["10.1142\/S0129065792000401"],"URL":"https:\/\/doi.org\/10.1142\/s0129065792000401","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,1]]}}}