Type-specific dendritic integration in mouse retinal ganglion cells

Yanli Ran, Ziwei Huang, Tom Baden, Timm Schubert, Harald Baayen, Philipp Berens, Katrin Franke and Thomas Euler ()
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Yanli Ran: University of Tübingen
Ziwei Huang: University of Tübingen
Tom Baden: University of Tübingen
Timm Schubert: University of Tübingen
Harald Baayen: University of Tübingen
Philipp Berens: University of Tübingen
Katrin Franke: University of Tübingen
Thomas Euler: University of Tübingen

Nature Communications, 2020, vol. 11, issue 1, 1-15

Abstract: Abstract Neural computation relies on the integration of synaptic inputs across a neuron’s dendritic arbour. However, it is far from understood how different cell types tune this process to establish cell-type specific computations. Here, using two-photon imaging of dendritic Ca2+ signals, electrical recordings of somatic voltage and biophysical modelling, we demonstrate that four morphologically distinct types of mouse retinal ganglion cells with overlapping excitatory synaptic input (transient Off alpha, transient Off mini, sustained Off, and F-mini Off) exhibit type-specific dendritic integration profiles: in contrast to the other types, dendrites of transient Off alpha cells were spatially independent, with little receptive field overlap. The temporal correlation of dendritic signals varied also extensively, with the highest and lowest correlation in transient Off mini and transient Off alpha cells, respectively. We show that differences between cell types can likely be explained by differences in backpropagation efficiency, arising from the specific combinations of dendritic morphology and ion channel densities.

Date: 2020
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DOI: 10.1038/s41467-020-15867-9

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