The Fuzzy Logic of Network Connectivity in Mouse Visual Thalamus
| Autor: | Arthur W. Wetzel, Daniel R. Berger, Josh Morgan, Jeff W. Lichtman |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Retinal Ganglion Cells genetic structures Thalamus Sensory system Biology Fuzzy logic General Biochemistry Genetics and Molecular Biology Retina Article 03 medical and health sciences Mice 0302 clinical medicine Fuzzy Logic Postsynaptic potential Neural Pathways medicine Biological neural network Connectome Animals Visual Pathways Visual Cortex Artificial neural network Biochemistry Genetics and Molecular Biology(all) fungi Brain Geniculate Bodies Anatomy eye diseases Axons Mice Inbred C57BL 030104 developmental biology medicine.anatomical_structure Retinal ganglion cell nervous system Cerebral cortex Synapses sense organs Nerve Net Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | Cell. 165(1):192-206 |
| ISSN: | 0092-8674 |
| DOI: | 10.1016/j.cell.2016.02.033 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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