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Med. Biol."],"published-print":{"date-parts":[[2024,9,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Bioelectric modeling problems, such as electroencephalography, magnetoencephalography, transcranial electrical stimulation, deep brain stimulation, and transcranial magnetic stimulation, among others, can be approached through the formulation and resolution of integral equations of the <jats:italic>boundary element method<\/jats:italic> (BEM). Recently, it has been realized that the <jats:italic>charge-based formulation<\/jats:italic> of the BEM is naturally well-suited for the application of the <jats:italic>fast multipole method<\/jats:italic> (FMM). The FMM is a powerful algorithm for the computation of many-body interactions and is widely applied in electromagnetic modeling problems. With the introduction of BEM-FMM in the context of bioelectromagnetism, the BEM can now compete with the <jats:italic>finite element method<\/jats:italic> (FEM) in a number of application cases. This survey has two goals: first, to give a modern account of the main BEM formulations in the literature and their integration with FMM, directed to general researchers involved in development of BEM software for bioelectromagnetic applications. Second, to survey different techniques and available software, and to contrast different BEM and FEM approaches. As a new contribution, we showcase that the charge-based formulation is dual to the more common surface potential formulation.<\/jats:p>","DOI":"10.1088\/1361-6560\/ad66a9","type":"journal-article","created":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T15:45:24Z","timestamp":1721749524000},"page":"17TR02","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["A survey on integral equations for bioelectric modeling"],"prefix":"10.1088","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2938-6782","authenticated-orcid":true,"given":"Guillermo Nu\u00f1ez","family":"Ponasso","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2024,8,28]]},"reference":[{"key":"pmbad66a9bib1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aadbb1","article-title":"Biophysically realistic neuron models for simulation of cortical stimulation","volume":"15","author":"Aberra","year":"2018","journal-title":"J. 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