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Such transitions are called bifurcations. Here, we show that recurrent neural chemical reaction networks (RNCRNs), a class of chemical reaction networks based on recurrent artificial neural networks that can be trained to reproduce a given dynamical behaviour, can also be trained to exhibit bifurcations. First, we show that RNCRNs can inherit some bifurcations defined by smooth ordinary differential equations\u00a0(ODEs). Second, we demonstrate that the RNCRN can be trained to infer bifurcations that allow it to approximate different target behaviours within different regions of parameter space, without explicitly providing the bifurcation itself in the training. These behaviours can be specified using target ODEs that are discontinuous with respect to the parameters, or even simply by specifying certain desired dynamical features in certain regions of the parameter space. To achieve the latter, we introduce an ODE-free algorithm for training the RNCRN to display designer oscillations, such as a heart-shaped limit cycle or two coexisting limit cycles.<\/jats:p>","DOI":"10.1098\/rsif.2026.0169","type":"journal-article","created":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:10:10Z","timestamp":1791936610000},"source":"Crossref","is-referenced-by-count":0,"title":["Recurrent neural chemical reaction networks trained to switch dynamical behaviours through learned bifurcations"],"prefix":"10.1098","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8649-5822","authenticated-orcid":false,"given":"Alexander","family":"Dack","sequence":"first","affiliation":[{"name":"Department of Bioengineering and Imperial College Centre for Engineering Biology, Imperial College London 1 , London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomislav","family":"Plesa","sequence":"additional","affiliation":[{"name":"Department of Applied Mathematics and Theoretical Physics, University of Cambridge 2 , Cambridge, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas E.","family":"Ouldridge","sequence":"additional","affiliation":[{"name":"Department of Bioengineering and Imperial College Centre for Engineering Biology, Imperial College London 1 , London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"175","published-online":{"date-parts":[[2026,10,14]]},"reference":[{"key":"2026102010222153100_RSIF20260169C1","doi-asserted-by":"crossref","first-page":"11 250","DOI":"10.1073\/pnas.210171597","article-title":"Generation of oscillations by the p53-Mdm2 feedback loop: a theoretical and experimental study","volume":"97","author":"Lev Bar-Or","year":"2000","journal-title":"Proc. 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