Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Neural Regulation01:37

Neural Regulation

42.6K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
42.6K
Variability: Analysis01:11

Variability: Analysis

349
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
349
Neural Circuits01:25

Neural Circuits

2.4K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.4K
Propagation of Action Potentials01:23

Propagation of Action Potentials

8.3K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
8.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Type I hair cells of striolar and central zones in vestibular organs are essential for head stability and postural control.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Extrinsic inputs underscore heterogeneities of ELL pyramidal cell neural activity in awake, behaving weakly electric fish.

The Journal of general physiology·2026
Same author

Eye-head coordination during goal-directed orienting in mice.

bioRxiv : the preprint server for biology·2026
Same author

Eye-head coordination during goal-directed orienting in mice.

Communications biology·2026
Same author

Ground-truth encoding of self-motion in the primate cerebellar nodulus and uvula.

Nature communications·2026
Same author

Locomotion engages context-dependent motor strategies for head stabilization in primates.

Communications biology·2026

Related Experiment Video

Updated: Dec 9, 2025

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

413

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

Isabelle Mackrous1, Jérome Carriot1, Kathleen E Cullen2,3,4,5

  • 1Department of Physiology, McGill University, Montreal, Canada.

Elife
|September 11, 2020
PubMed
Summary

Neuronal variability in the vestibular nuclei determines coding strategies. Low variability ensures faithful encoding for vestibulo-ocular reflex (VOR), while high variability optimizes coding via temporal whitening for other vestibular functions.

Keywords:
neural codingneurosciencerhesus macaqueself-motionvestibularvestibulo-occular reflex

More Related Videos

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

8.6K
Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
11:20

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

Published on: June 2, 2014

12.2K

Related Experiment Videos

Last Updated: Dec 9, 2025

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

413
Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

8.6K
Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
11:20

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

Published on: June 2, 2014

12.2K

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.