Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity

PLoS Comput Biol. 2020 Dec 30;16(12):e1007937. doi: 10.1371/journal.pcbi.1007937. eCollection 2020 Dec.

Abstract

The Golgi cells are the main inhibitory interneurons of the cerebellar granular layer. Although recent works have highlighted the complexity of their dendritic organization and synaptic inputs, the mechanisms through which these neurons integrate complex input patterns remained unknown. Here we have used 8 detailed morphological reconstructions to develop multicompartmental models of Golgi cells, in which Na, Ca, and K channels were distributed along dendrites, soma, axonal initial segment and axon. The models faithfully reproduced a rich pattern of electrophysiological and pharmacological properties and predicted the operating mechanisms of these neurons. Basal dendrites turned out to be more tightly electrically coupled to the axon initial segment than apical dendrites. During synaptic transmission, parallel fibers caused slow Ca-dependent depolarizations in apical dendrites that boosted the axon initial segment encoder and Na-spike backpropagation into basal dendrites, while inhibitory synapses effectively shunted backpropagating currents. This oriented dendritic processing set up a coincidence detector controlling voltage-dependent NMDA receptor unblock in basal dendrites, which, by regulating local calcium influx, may provide the basis for spike-timing dependent plasticity anticipated by theory.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Axons / metabolism
  • Axons / physiology
  • Cerebellar Golgi Cells* / cytology
  • Cerebellar Golgi Cells* / metabolism
  • Cerebellar Golgi Cells* / physiology
  • Dendrites* / metabolism
  • Dendrites* / physiology
  • Female
  • Ion Channels / metabolism
  • Ion Channels / physiology
  • Male
  • Mice
  • Models, Neurological
  • Neuronal Plasticity / physiology*
  • Synaptic Transmission / physiology

Substances

  • Ion Channels

Grants and funding

This research was supported by the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2) to ED. This research was also supported by the MNL Project “Local Neuronal Microcircuits” of the Centro Fermi (Rome, Italy) to ED. Model optimizations and simulations were performed on the Piz Daint supercomputer (CSCS – Lugano) with a specific grant (special proposal 03) to ED&SM and using computing resources provided through the PRACE Project 2018184373 to ED&SM. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.