Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity

被引:28
作者
Reimann, Michael W. [1 ]
Horlemann, Anna-Lena [2 ]
Ramaswamy, Srikanth [1 ]
Muller, Eilif B. [1 ]
Markram, Henry [1 ]
机构
[1] Ecole Polytech Fed Lausanne, Blue Brain Project, CH-1015 Lausanne, Switzerland
[2] Univ St Gallen, Fac Math & Stat, Bodanstr 6, CH-9000 St Gallen, Switzerland
关键词
connectomics; information theory; in silico model; neuronal morphology; structured networks; RAT NEOCORTEX; SOMATOSENSORY CORTEX; CORTICAL CIRCUITS; PYRAMIDAL NEURONS; VISUAL-CORTEX; FUNCTIONAL CONNECTIVITY; CEREBRAL-CORTEX; NERVOUS-SYSTEM; CELL-TYPE; NETWORKS;
D O I
10.1093/cercor/bhx150
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Synaptic 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.
引用
收藏
页码:4570 / 4585
页数:16
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