Complex spike clusters and false-positive rejection in a cerebellar supervised learning rule

J Physiol. 2019 Aug;597(16):4387-4406. doi: 10.1113/JP278502. Epub 2019 Jul 26.

Abstract

Key points: Spike doublets comprise ∼10% of in vivo complex spike events under spontaneous conditions and ∼20% (up to 50%) under evoked conditions. Under near-physiological slice conditions, single complex spikes do not induce parallel fibre long-term depression. Doublet stimulation is required to induce long-term depression with an optimal parallel-fibre to first-complex-spike timing interval of 150 ms.

Abstract: The classic example of biological supervised learning occurs at cerebellar parallel fibre (PF) to Purkinje cell synapses, comprising the most abundant synapse in the mammalian brain. Long-term depression (LTD) at these synapses is driven by climbing fibres (CFs), which fire continuously about once per second and therefore generate potential false-positive events. We show that pairs of complex spikes are required to induce LTD. In vivo, sensory stimuli evoked complex-spike doublets with intervals ≤150 ms in up to 50% of events. Using realistic [Ca2+ ]o and [Mg2+ ]o concentrations in slices, we determined that complex-spike doublets delivered 100-150 ms after PF stimulus onset were required to trigger PF-LTD, which is consistent with the requirements for eyeblink conditioning. Inter-complex spike intervals of 50-150 ms provided optimal decoding. This stimulus pattern prolonged evoked spine calcium signals and promoted CaMKII activation. Doublet activity may provide a means for CF instructive signals to stand out from background firing.

Keywords: Complex spikes; cerebellum; long-term depression; signal-to-noise ratio.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Action Potentials / physiology*
  • Animals
  • Calcium / metabolism
  • Calcium Signaling / physiology
  • Cerebellum / physiology*
  • Electrophysiological Phenomena
  • Learning / physiology*
  • Mice
  • Nerve Fibers / physiology
  • Neuronal Plasticity
  • Synapses / physiology

Substances

  • Calcium