{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T15:13:26Z","timestamp":1790867606897,"version":"4.1.0"},"reference-count":216,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T00:00:00Z","timestamp":1619481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009879","name":"Regione Emilia-Romagna","doi-asserted-by":"publisher","award":["Finanziamento per Metodi alternativi alla sperimentazione animale"],"award-info":[{"award-number":["Finanziamento per Metodi alternativi alla sperimentazione animale"]}],"id":[{"id":"10.13039\/501100009879","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>The investigation of synaptic functions remains one of the most fascinating challenges in the field of neuroscience and a large number of experimental methods have been tuned to dissect the mechanisms taking part in the neurotransmission process. Furthermore, the understanding of the insights of neurological disorders originating from alterations in neurotransmission often requires the development of (i) animal models of pathologies, (ii) invasive tools and (iii) targeted pharmacological approaches. In the last decades, additional tools to explore neurological diseases have been provided to the scientific community. A wide range of computational models in fact have been developed to explore the alterations of the mechanisms involved in neurotransmission following the emergence of neurological pathologies. Here, we review some of the advancements in the development of computational methods employed to investigate neuronal circuits with a particular focus on the application to the most diffuse neurological disorders.<\/jats:p>","DOI":"10.3390\/ijms22094565","type":"journal-article","created":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T06:19:11Z","timestamp":1619504351000},"page":"4565","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Modeling Neurotransmission: Computational Tools to Investigate Neurological Disorders"],"prefix":"10.3390","volume":"22","author":[{"given":"Daniela","family":"Gandolfi","sequence":"first","affiliation":[{"name":"Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Campi 287, 41125 Modena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giulia Maria","family":"Boiani","sequence":"additional","affiliation":[{"name":"Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Campi 287, 41125 Modena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6987-488X","authenticated-orcid":false,"given":"Albertino","family":"Bigiani","sequence":"additional","affiliation":[{"name":"Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Campi 287, 41125 Modena, Italy"},{"name":"Center for Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, Via Campi 287, 41125 Modena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0381-1576","authenticated-orcid":false,"given":"Jonathan","family":"Mapelli","sequence":"additional","affiliation":[{"name":"Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Campi 287, 41125 Modena, Italy"},{"name":"Center for Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, Via Campi 287, 41125 Modena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1126\/science.1119959","article-title":"Less Is More in Modeling Large Genetic Networks","volume":"310","author":"Bornholdt","year":"2005","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1038\/nn1352","article-title":"Similar Network Activity from Disparate Circuit Parameters","volume":"7","author":"Prinz","year":"2004","journal-title":"Nat. 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