The Fuzzy Logic of Network Connectivity in Mouse Visual Thalamus

Josh Lyskowski Morgan, Daniel Raimund Berger, Arthur Willis Wetzel, Jeff William Lichtman

Research output: Contribution to journalArticlepeer-review

131 Scopus citations

Abstract

Summary In an attempt to chart parallel sensory streams passing through the visual thalamus, we acquired a 100-trillion-voxel electron microscopy (EM) dataset and identified cohorts of retinal ganglion cell axons (RGCs) that innervated each of a diverse group of postsynaptic thalamocortical neurons (TCs). Tracing branches of these axons revealed the set of TCs innervated by each RGC cohort. Instead of finding separate sensory pathways, we found a single large network that could not be easily subdivided because individual RGCs innervated different kinds of TCs and different kinds of RGCs co-innervated individual TCs. We did find conspicuous network subdivisions organized on the basis of dendritic rather than neuronal properties. This work argues that, in the thalamus, neural circuits are not based on a canonical set of connections between intrinsically different neuronal types but, rather, may arise by experience-based mixing of different kinds of inputs onto individual postsynaptic cells.

Original languageEnglish
Pages (from-to)192-206
Number of pages15
JournalCell
Volume165
Issue number1
DOIs
StatePublished - Mar 24 2016

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