{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T02:05:51Z","timestamp":1648778751853},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[1993,9]]},"abstract":"<jats:p> Two coupled nonlinear first-order systems whose dynamic behavior reflects the neural states exhibited by a spatially localized population of excitatory and inhibitory nerve cells are described. The dynamics of each constituent neural subpopulation represents a fundamental neural information processing element (PE) of a complex neural system. Phase plane analysis is used in this paper to show how such antagonistic positive acting (excitatory) and negative acting (inhibitory) PEs can generate diverse steady-state and temporal phenomena when the nonlinear system parameters of the PEs are altered. By modifying a selected set of parameters, it is possible to program the positive and negative PEs to exhibit various dynamic attributes such as multiple stable states, transient response behavior and limit-cycle oscillations. These dynamic attributes may be used to perform a variety of useful computational tasks in signal processing and vision systems such as short-term memory (STM), temporal filtering (TF) and pulse frequency modulation (PFM). Computer simulations are presented throughout this paper in order to illustrate these dynamic attributes. <\/jats:p>","DOI":"10.1142\/s0129065793000237","type":"journal-article","created":{"date-parts":[[2004,11,19]],"date-time":"2004-11-19T07:08:05Z","timestamp":1100848085000},"page":"291-303","source":"Crossref","is-referenced-by-count":0,"title":["DYNAMICS OF ANTAGONISTIC NEURAL PROCESSING ELEMENTS"],"prefix":"10.1142","volume":"04","author":[{"given":"GEORGE K.","family":"KNOPF","sequence":"first","affiliation":[{"name":"Intelligent Systems Research Laboratory, College of Engineering, University of Saskatchewan, Saskatoon, Sask., S7N OWO, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"MADAN M.","family":"GUPTA","sequence":"additional","affiliation":[{"name":"Intelligent Systems Research Laboratory, College of Engineering, University of Saskatchewan, Saskatoon, Sask., S7N OWO, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"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\/S0129065793000237","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T21:54:42Z","timestamp":1565128482000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065793000237"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1993,9]]},"references-count":0,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1993,9]]}},"alternative-id":["10.1142\/S0129065793000237"],"URL":"https:\/\/doi.org\/10.1142\/s0129065793000237","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[1993,9]]}}}