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dc.contributor.authorAldworth, Zane N.
dc.contributor.authorDimitrov, Alexander G.
dc.contributor.authorCummins, G.
dc.contributor.authorGedeon, Tomas
dc.contributor.authorMiller, J. P.
dc.date.accessioned2016-02-08T17:51:54Z
dc.date.available2016-02-08T17:51:54Z
dc.date.issued2011-05
dc.identifier.citationZ. N. Aldworth, A. G. Dimitrov, G. I. Cummins, T. Gedeon, and J. P. Miller, “Temporal Encoding in a Nervous System,” PLoS Computational Biology, vol. 7, no. 5, p. e1002041, May 2011.en_US
dc.identifier.issn1553-734X
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/9541
dc.description.abstractWe examined the extent to which temporal encoding may be implemented by single neurons in the cercal sensory system of the house cricket Acheta domesticus. We found that these neurons exhibit a greater-than-expected coding capacity, due in part to an increased precision in brief patterns of action potentials. We developed linear and non-linear models for decoding the activity of these neurons. We found that the stimuli associated with short-interval patterns of spikes (ISIs of 8 ms or less) could be predicted better by second-order models as compared to linear models. Finally, we characterized the difference between these linear and second-order models in a low-dimensional subspace, and showed that modification of the linear models along only a few dimensions improved their predictive power to parity with the second order models. Together these results show that single neurons are capable of using temporal patterns of spikes as fundamental symbols in their neural code, and that they communicate specific stimulus distributions to subsequent neural structures.en_US
dc.rightsCC BY 4.0 You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleTemporal coding in a nervous systemen_US
dc.typeArticleen_US
mus.citation.extentfirstpagee1002041en_US
mus.citation.issue5en_US
mus.citation.journaltitle10.1371/journal.pcbi.1002041en_US
mus.citation.volume7en_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.categoryPhysics & Mathematicsen_US
mus.identifier.doi10.1371/journal.pcbi.1002041en_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentMathematical Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.data.thumbpage5en_US
mus.contributor.orcidGedeon, Tomas|0000-0001-5555-6741en_US


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CC BY 4.0
You are free to:
Share — copy and redistribute the material in any medium or format 
Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. 
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Except where otherwise noted, this item's license is described as CC BY 4.0 You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.