Show simple item record

dc.contributor.authorFerrario, A
dc.contributor.authorMerrison-Hort, R
dc.contributor.authorSoffe, SR
dc.contributor.authorBorisyuk, R
dc.date.accessioned2018-04-27T13:27:33Z
dc.date.issued2018-03-28
dc.identifier.issn2050-084X
dc.identifier.issn2050-084X
dc.identifier.otherARTN e33281
dc.identifier.urihttp://hdl.handle.net/10026.1/11369
dc.description.abstract

Although, in most animals, brain connectivity varies between individuals, behaviour is often similar across a species. What fundamental structural properties are shared across individual networks that define this behaviour? We describe a probabilistic model of connectivity in the hatchling Xenopus tadpole spinal cord which, when combined with a spiking model, reliably produces rhythmic activity corresponding to swimming. The probabilistic model allows calculation of structural characteristics that reflect common network properties, independent of individual network realisations. We use the structural characteristics to study examples of neuronal dynamics, in the complete network and various sub-networks, and this allows us to explain the basis for key experimental findings, and make predictions for experiments. We also study how structural and functional features differ between detailed anatomical connectomes and those generated by our new, simpler, model.

dc.format.extente33281-
dc.format.mediumElectronic
dc.languageen
dc.language.isoen
dc.publishereLife Sciences Publications, Ltd
dc.subjectneuroscience
dc.subjectxenopus
dc.titleStructural and functional properties of a probabilistic model of neuronal connectivity in a simple locomotor network.
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/29589828
plymouth.volume7
plymouth.publisher-urlhttp://dx.doi.org/10.7554/elife.33281
plymouth.publication-statusPublished online
plymouth.journalElife
dc.identifier.doi10.7554/eLife.33281
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dc.publisher.placeEngland
dcterms.dateAccepted2018-03-25
dc.rights.embargodate2018-6-15
dc.identifier.eissn2050-084X
dc.rights.embargoperiodNo embargo
rioxxterms.versionofrecord10.7554/eLife.33281
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-03-28
rioxxterms.typeJournal Article/Review
plymouth.funderCross-modality integration of sensory signals leading to initiation of locomotion::BBSRC
plymouth.funderCross-modality integration of sensory signals leading to initiation of locomotion::BBSRC


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record


All items in PEARL are protected by copyright law.
Author manuscripts deposited to comply with open access mandates are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author.
Theme by 
Atmire NV