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dc.contributor.authorFerrario, Andrea
dc.contributor.authorPalyanov, Andrey
dc.contributor.authorKoutsikou, Stella
dc.contributor.authorLi, Wenchang
dc.contributor.authorSoffe, Steve
dc.contributor.authorRoberts, Alan
dc.contributor.authorBorisyuk, Roman
dc.date.accessioned2022-01-10T17:30:03Z
dc.date.available2022-01-10T17:30:03Z
dc.date.issued2021-12-13
dc.identifier.citationFerrario , A , Palyanov , A , Koutsikou , S , Li , W , Soffe , S , Roberts , A & Borisyuk , R 2021 , ' From decision to action : detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory signals ' , PLoS Computational Biology , vol. 17 , no. 12 , e1009654 . https://doi.org/10.1371/journal.pcbi.1009654en
dc.identifier.issn1553-734X
dc.identifier.otherPURE: 277084242
dc.identifier.otherPURE UUID: 86db1c58-b087-4fc7-bf2f-19b93390d31f
dc.identifier.otherPubMed: 34898604
dc.identifier.otherORCID: /0000-0002-1179-6636/work/105006981
dc.identifier.otherScopus: 85122305027
dc.identifier.urihttp://hdl.handle.net/10023/24634
dc.descriptionFunding: A.F. acknowledges support from the UK Engineering and Physical Sciences Research Council (EPSRC) New Investigator Award (EP/R03124X/1). The work of A.P. was performed according to the Russian Federation Government research assignment for A.P. Ershov Institute of Informatics Systems SB RAS, project FWNU-2021-0005. S.K. acknowledges support from The Physiological Society UK Research Grant award. R.B. acknowledges support from the UK Biotechnology and Biological Sciences Research Council (BBSRC): BB/L000814/1, BB/T002352/1. W.L. acknowledges support from the UK Biotechnology and Biological Sciences Research Council (BBSRC): BB/T003146.en
dc.description.abstractHow does the brain process sensory stimuli, and decide whether to initiate locomotor behaviour? To investigate this question we develop two whole body computer models of a tadpole. The “Central Nervous System” (CNS) model uses evidence from whole-cell recording to define 2300 neurons in 12 classes to study how sensory signals from the skin initiate and stop swimming. In response to skin stimulation, it generates realistic sensory pathway spiking and shows how hindbrain sensory memory populations on each side can compete to initiate reticulospinal neuron firing and start swimming. The 3-D “Virtual Tadpole” (VT) biomechanical model with realistic muscle innervation, body flexion, body-water interaction, and movement is then used to evaluate if motor nerve outputs from the CNS model can produce swimming-like movements in a volume of “water”. We find that the whole tadpole VT model generates reliable and realistic swimming. Combining these two models opens new perspectives for experiments.
dc.format.extent41
dc.language.isoeng
dc.relation.ispartofPLoS Computational Biologyen
dc.rightsCopyright: © 2021 Ferrario et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.subjectQH301 Biologyen
dc.subjectQA76 Computer softwareen
dc.subjectRC0321 Neuroscience. Biological psychiatry. Neuropsychiatryen
dc.subjectDASen
dc.subject.lccQH301en
dc.subject.lccQA76en
dc.subject.lccRC0321en
dc.titleFrom decision to action : detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory signalsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
dc.contributor.institutionUniversity of St Andrews. St Andrews Isotope Geochemistryen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.identifier.doihttps://doi.org/10.1371/journal.pcbi.1009654
dc.description.statusPeer revieweden


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