Neural variability determines coding strategies for natural self-motion in macaque monkeys.

Area of Science:

• Neuroscience
• Vestibular System
• Computational Neuroscience

Background:

• Central neurons in vestibular nuclei encode self-motion and mediate reflexes.
• The vestibular nuclei contain diverse neuronal populations with distinct functions, including the vestibulo-ocular reflex (VOR).
• Neuronal discharge variability is a key characteristic of neuronal function.

Purpose of the Study:

• To investigate the role of resting discharge variability in neuronal coding within the vestibular nuclei.
• To determine how different levels of variability influence the encoding of naturalistic self-motion.
• To elucidate the functional implications of distinct coding strategies for vestibular reflexes.

Main Methods:

• Analysis of neuronal resting discharge variability in vestibular nuclei.
• Characterization of neuronal responses to naturalistic self-motion stimuli.
• Modeling of vestibulo-ocular reflex (VOR) pathways to assess functional consequences.

Main Results:

• Heterogeneity in resting discharge variability creates a trade-off between faithful and optimal coding.
• Low-variability neurons faithfully encode self-motion, preserving temporal details.
• High-variability neurons exhibit temporal whitening, optimizing stimulus representation.
• Faithful encoding by low-variability neurons is crucial for generating compensatory eye movements during self-motion.

Conclusions:

• Neuronal variability in the vestibular nuclei supports distinct coding strategies.
• Low variability enables faithful stimulus encoding essential for VOR.
• High variability facilitates optimized coding through temporal whitening for other vestibular functions.
• This variability-driven functional specialization offers a novel perspective on vestibular processing.