{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T07:54:06Z","timestamp":1725522846243},"reference-count":0,"publisher":"EasyChair","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>We show how to exploit enzymatic saturation -an ubiquitous nonlinear effects in biochemistry- in order to process information in molecular networks. The networks rely on the linearity of DNA strand displacement and the nonlinearity of enzymatic replication. We propose a pattern-recognition network that is compact and should be robust to leakage.<\/jats:p>","DOI":"10.29007\/rfzv","type":"proceedings-article","created":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T17:57:36Z","timestamp":1516730256000},"page":"113-107","source":"Crossref","is-referenced-by-count":0,"title":["Molecular computations with competitive neural networks that exploit linear and nonlinear kinetics"],"prefix":"10.29007","volume":"10","author":[{"given":"Anthony J.","family":"Genot","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teruo","family":"Fujii","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yannick","family":"Rondelez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11545","event":{"name":"Turing-100. The Alan Turing Centenary"},"container-title":["EPiC Series in Computing"],"original-title":[],"deposited":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T17:57:37Z","timestamp":1516730257000},"score":1,"resource":{"primary":{"URL":"https:\/\/easychair.org\/publications\/paper\/SW"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":0,"URL":"https:\/\/doi.org\/10.29007\/rfzv","relation":{},"ISSN":["2398-7340"],"issn-type":[{"type":"print","value":"2398-7340"}],"subject":[]}}