Binary and analog variation of synapses between cortical pyramidal neurons

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dc.citation.articleNumbere76120en_US
dc.citation.journalTitleeLifeen_US
dc.citation.volumeNumber11en_US
dc.contributor.authorDorkenwald, Svenen_US
dc.contributor.authorTurner, Nicholas L.en_US
dc.contributor.authorMacrina, Thomasen_US
dc.contributor.authorLee, Kisuken_US
dc.contributor.authorLu, Ranen_US
dc.contributor.authorWu, Jingpengen_US
dc.contributor.authorBodor, Agnes L.en_US
dc.contributor.authorBleckert, Adam A.en_US
dc.contributor.authorBrittain, Derricken_US
dc.contributor.authorKemnitz, Nicoen_US
dc.contributor.authorSilversmith, William M.en_US
dc.contributor.authorIh, Dodamen_US
dc.contributor.authorZung, Jonathanen_US
dc.contributor.authorZlateski, Aleksandaren_US
dc.contributor.authorTartavull, Ignacioen_US
dc.contributor.authorYu, Szi-Chiehen_US
dc.contributor.authorPopovych, Sergiyen_US
dc.contributor.authorWong, Williamen_US
dc.contributor.authorCastro, Manuelen_US
dc.contributor.authorJordan, Chris S.en_US
dc.contributor.authorWilson, Alyssa M.en_US
dc.contributor.authorFroudarakis, Emmanouilen_US
dc.contributor.authorBuchanan, JoAnnen_US
dc.contributor.authorTakeno, Marc M.en_US
dc.contributor.authorTorres, Russelen_US
dc.contributor.authorMahalingam, Gayathrien_US
dc.contributor.authorCollman, Forresten_US
dc.contributor.authorSchneider-Mizell, Casey M.en_US
dc.contributor.authorBumbarger, Daniel J.en_US
dc.contributor.authorLi, Yangen_US
dc.contributor.authorBecker, Lynneen_US
dc.contributor.authorSuckow, Shelbyen_US
dc.contributor.authorReimer, Jacoben_US
dc.contributor.authorTolias, Andreas S.en_US
dc.contributor.authorMacarico da Costa, Nunoen_US
dc.contributor.authorReid, R. Clayen_US
dc.contributor.authorSeung, H. Sebastianen_US
dc.date.accessioned2023-01-27T14:47:24Zen_US
dc.date.available2023-01-27T14:47:24Zen_US
dc.date.issued2022en_US
dc.description.abstractLearning from experience depends at least in part on changes in neuronal connections. We present the largest map of connectivity to date between cortical neurons of a defined type (layer 2/3 [L2/3] pyramidal cells in mouse primary visual cortex), which was enabled by automated analysis of serial section electron microscopy images with improved handling of image defects (250 × 140 × 90 μm3 volume). We used the map to identify constraints on the learning algorithms employed by the cortex. Previous cortical studies modeled a continuum of synapse sizes by a log-normal distribution. A continuum is consistent with most neural network models of learning, in which synaptic strength is a continuously graded analog variable. Here, we show that synapse size, when restricted to synapses between L2/3 pyramidal cells, is well modeled by the sum of a binary variable and an analog variable drawn from a log-normal distribution. Two synapses sharing the same presynaptic and postsynaptic cells are known to be correlated in size. We show that the binary variables of the two synapses are highly correlated, while the analog variables are not. Binary variation could be the outcome of a Hebbian or other synaptic plasticity rule depending on activity signals that are relatively uniform across neuronal arbors, while analog variation may be dominated by other influences such as spontaneous dynamical fluctuations. We discuss the implications for the longstanding hypothesis that activity-dependent plasticity switches synapses between bistable states.en_US
dc.identifier.citationDorkenwald, Sven, Turner, Nicholas L., Macrina, Thomas, et al.. "Binary and analog variation of synapses between cortical pyramidal neurons." <i>eLife,</i> 11, (2022) eLife Sciences Publications Ltd.: https://doi.org/10.7554/eLife.76120.en_US
dc.identifier.digitalelife-76120-v2en_US
dc.identifier.doihttps://doi.org/10.7554/eLife.76120en_US
dc.identifier.urihttps://hdl.handle.net/1911/114273en_US
dc.language.isoengen_US
dc.publishereLife Sciences Publications Ltd.en_US
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleBinary and analog variation of synapses between cortical pyramidal neuronsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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