000230483 001__ 230483
000230483 005__ 20181203024804.0
000230483 0247_ $$2doi$$a10.1093/cercor/bhx150
000230483 022__ $$a1047-3211
000230483 02470 $$2ISI$$a000407847800023
000230483 037__ $$aARTICLE
000230483 245__ $$aMorphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity
000230483 260__ $$bOxford University Press$$c2017$$aCary
000230483 269__ $$a2017
000230483 300__ $$a16
000230483 336__ $$aJournal Articles
000230483 520__ $$aSynaptic connectivity between neurons is naturally constrained by the anatomical overlap of neuronal arbors, the space on the axon available for synapses, and by physiological mechanisms that form synapses at a subset of potential synapse locations. What is not known is how these constraints impact emergent connectivity in a circuit with diverse morphologies. We investigated the role of morphological diversity within and across neuronal types on emergent connectivity in a model of neocortical microcircuitry. We found that the average overlap between the dendritic and axonal arbors of different types of neurons determines neuron-type specific patterns of distance-dependent connectivity, severely constraining the space of possible connectomes. However, higher order connectivity motifs depend on the diverse branching patterns of individual arbors of neurons belonging to the same type. Morphological diversity across neuronal types, therefore, imposes a specific structure on first order connectivity, and morphological diversity within neuronal types imposes a higher order structure of connectivity. We estimate that the morphological constraints resulting from diversity within and across neuron types together lead to a 10-fold reduction of the entropy of possible connectivity configurations, revealing an upper bound on the space explored by structural plasticity.
000230483 6531_ $$aconnectomics
000230483 6531_ $$ainformation theory
000230483 6531_ $$ain silico model
000230483 6531_ $$aneuronal morphology
000230483 6531_ $$astructured networks
000230483 700__ $$uEcole Polytech Fed Lausanne, Blue Brain Project, CH-1015 Lausanne, Switzerland$$aReimann, Michael W.
000230483 700__ $$aHorlemann, Anna-Lena
000230483 700__ $$uEcole Polytech Fed Lausanne, Blue Brain Project, CH-1015 Lausanne, Switzerland$$aRamaswamy, Srikanth
000230483 700__ $$uEcole Polytech Fed Lausanne, Blue Brain Project, CH-1015 Lausanne, Switzerland$$aMuller, Eilif B.
000230483 700__ $$0240392$$g150822$$uEcole Polytech Fed Lausanne, Blue Brain Project, CH-1015 Lausanne, Switzerland$$aMarkram, Henry
000230483 773__ $$j27$$tCerebral Cortex$$k9$$q4570-4585
000230483 909C0 $$xU10458$$0252120$$pLNMC
000230483 909CO $$pSV$$particle$$ooai:infoscience.tind.io:230483
000230483 917Z8 $$x251865
000230483 937__ $$aEPFL-ARTICLE-230483
000230483 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000230483 980__ $$aARTICLE