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dc.contributor.authorLi, WC
dc.contributor.authorCooke, T
dc.contributor.authorSautois, B
dc.contributor.authorSoffe, S
dc.contributor.authorBorisyuk, Roman
dc.contributor.authorRoberts, A
dc.date.accessioned2017-05-10T15:48:54Z
dc.date.available2017-05-10T15:48:54Z
dc.date.issued2007-01-01
dc.identifier.issn1749-8104
dc.identifier.issn1749-8104
dc.identifier.other17
dc.identifier.urihttp://hdl.handle.net/10026.1/9223
dc.description.abstract

Background: How specific are the synaptic connections formed as neuronal networks develop and can simple rules account for the formation of functioning circuits? These questions are assessed in the spinal circuits controlling swimming in hatchling frog tadpoles. This is possible because detailed information is now available on the identity and synaptic connections of the main types of neuron. Results: The probabilities of synapses between 7 types of identified spinal neuron were measured directly by making electrical recordings from 500 pairs of neurons. For the same neuron types, the dorso-ventral distributions of axons and dendrites were measured and then used to calculate the probabilities that axons would encounter particular dendrites and so potentially form synaptic connections. Surprisingly, synapses were found between all types of neuron but contact probabilities could be predicted simply by the anatomical overlap of their axons and dendrites. These results suggested that synapse formation may not require axons to recognise specific, correct dendrites. To test the plausibility of simpler hypotheses, we first made computational models that were able to generate longitudinal axon growth paths and reproduce the axon distribution patterns and synaptic contact probabilities found in the spinal cord. To test if probabilistic rules could produce functioning spinal networks, we then made realistic computational models of spinal cord neurons, giving them established cell-specific properties and connecting them into networks using the contact probabilities we had determined. A majority of these networks produced robust swimming activity. Conclusion: Simple factors such as morphogen gradients controlling dorso-ventral soma, dendrite and axon positions may sufficiently constrain the synaptic connections made between different types of neuron as the spinal cord first develops and allow functional networks to form. Our analysis implies that detailed cellular recognition between spinal neuron types may not be necessary for the reliable formation of functional networks to generate early behaviour like swimming.

dc.format.extent17-17
dc.format.mediumElectronic
dc.languageen
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.subjectAnimals
dc.subjectAxons
dc.subjectBody Patterning
dc.subjectCell Differentiation
dc.subjectDendrites
dc.subjectFunctional Laterality
dc.subjectGlutamic Acid
dc.subjectGrowth Cones
dc.subjectInterneurons
dc.subjectLarva
dc.subjectLocomotion
dc.subjectNerve Net
dc.subjectNeural Pathways
dc.subjectPatch-Clamp Techniques
dc.subjectPosterior Horn Cells
dc.subjectSensory Receptor Cells
dc.subjectSpinal Cord
dc.subjectSwimming
dc.subjectSynapses
dc.subjectXenopus laevis
dc.titleAxon and dendrite geography predict the specificity of synaptic connections in a functioning spinal cord network
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, Non-U.S. Gov't
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000258981700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue1
plymouth.volume2
plymouth.publication-statusPublished
plymouth.journalNeural Development
dc.identifier.doi10.1186/1749-8104-2-17
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dc.publisher.placeEngland
dcterms.dateAccepted2007-09-10
dc.identifier.eissn1749-8104
dc.rights.embargoperiodNot known
rioxxterms.funderEngineering and Physical Sciences Research Council
rioxxterms.identifier.projectBrain-Inspired Neuronal Model of Attention and Memory
rioxxterms.versionofrecord10.1186/1749-8104-2-17
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
plymouth.funderBrain-Inspired Neuronal Model of Attention and Memory::Engineering and Physical Sciences Research Council


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