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Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

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The Cellular Electrophysiological Properties Underlying Multiplexed Coding in Purkinje Cells.

Yunliang Zang^1,2, Erik De Schutter³

¹Computational Neuroscience Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa 904-0495, Japan ylzang@brandeis.edu.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience

|January 16, 2021

Summary

Cerebellar Purkinje cells (PCs) shift from rate coding to burst-pause timing coding with increased input, driven by dendritic spikes. This reveals branch-specific computations, expanding neuronal information processing capacity.

Keywords:

Purkinje cell burst-pause computation cerebellum dendritic spikes linear computation multiplexed coding

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Area of Science:

Neuroscience
Computational Neuroscience
Cellular Electrophysiology

Background:

Neuronal firing patterns are fundamental to circuit-level behaviors.
Cerebellar Purkinje cells (PCs) utilize both spike rates and pauses for behavioral coding.
The cellular mechanisms behind transitions between coding strategies in PCs are not well understood.

Purpose of the Study:

To explore the coding strategies individual PCs use to process parallel fiber (PF) inputs using a validated PC model.
To investigate the cellular mechanisms underlying the shift from rate coding to burst-pause timing coding.
To challenge the traditional view of PCs as linear point neurons.

Main Methods:

Utilized a well-validated Purkinje cell (PC) model for computational simulations.
Explored the effects of varying input intensity on PC firing patterns.
Validated dendritic spike properties against experimental data and elucidated spiking mechanisms.
Predicted spiking thresholds with and without synaptic inhibition.

Main Results:

Increasing input intensity shifts PCs from linear rate-coders to burst-pause timing-coders by triggering localized dendritic spikes.
Both linear and burst-pause computations operate at the level of individual dendritic branches, not as a single linear unit.
Dendritic spike thresholds are regulated by voltage state, channel modulation, inter-branch interactions, and inhibition.
Co-activated PF inputs can modulate somatic spike rates and pause durations, enabling analog signal transmission.

Conclusions:

PCs employ branch-specific multiplexed coding strategies at the cellular level, expanding their information processing capacity.
This challenges the traditional view of PCs as simple linear integrators.
The findings offer new insights into how individual neurons increase their capacity for information processing and contribute to cerebellar learning.