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 Experiment Videos

Temporal encoding in nervous systems: a rigorous definition

F Theunissen1, J P Miller

  • 1Department of Molecular and Cell Biology, University of California, Berkeley 94720, USA.

Journal of Computational Neuroscience
|June 1, 1995
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Sex discordance between patients and endoscopists and colonoscopy outcome: a database analysis.

Scandinavian journal of gastroenterology·2026
Same author

Measurement of the Positive Muon Anomalous Magnetic Moment to 127 ppb.

Physical review letters·2025
Same author

Alarm symptoms and the risk of upper gastrointestinal cancer in patients below the age of 60.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver·2025
Same author

Overview of a national endoscopy database: The Trans.IT database and its impact on data registration quality.

United European gastroenterology journal·2024
Same author

Measurement of the Positive Muon Anomalous Magnetic Moment to 0.20 ppm.

Physical review letters·2023
Same author

Energetic Electron Precipitation Driven by Electromagnetic Ion Cyclotron Waves from ELFIN's Low Altitude Perspective.

Space science reviews·2023
Same journal

Hierarchical learning creates invariant schema within plastic neural networks.

Journal of computational neuroscience·2026
Same journal

Intrinsic chaos control in cortical circuits: A minimal E-I-M rate model for primary visual cortex.

Journal of computational neuroscience·2026
Same journal

Modeling developmental spiking behavior driven by ionic current dynamics of mouse and human inner hair cells using a calcium-enhanced Izhikevich framework.

Journal of computational neuroscience·2026
Same journal

A biophysically grounded model of glutamatergic synaptic transmission integrating glutamate transport, receptor kinetics, and electrotonic effects.

Journal of computational neuroscience·2026
Same journal

When can neuronal activity-dependent homeostatic plasticity maintain circuit-level properties?

Journal of computational neuroscience·2026
Same journal

A charge conservative finite volume discretization of the Hodgkin-Huxley model.

Journal of computational neuroscience·2026
See all related articles

This study defines temporal encoding in neuronal action potentials, differentiating it from rate encoding. It establishes criteria for identifying temporal encoding in neurons and ensembles.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Information Theory

Background:

  • Neuronal action potentials are fundamental to information processing in the brain.
  • Existing methods for analyzing neural codes often rely on average firing rates.
  • The precise role of spike timing in neural computation remains an active area of research.

Purpose of the Study:

  • To propose a rigorous definition of temporal encoding for neuronal action potentials.
  • To distinguish temporal encoding from rate-based encoding schemes.
  • To provide experimentally verifiable criteria for identifying temporal encoding in neural systems.

Main Methods:

  • Defining an 'encoding time window' based on the duration of spike trains representing information.
  • Differentiating the 'encoding time window' from the 'integration time window' of neuronal responses.

Related Experiment Videos

  • Applying analytical approaches like stimulus reconstruction to validate the definitions.
  • Main Results:

    • A clear distinction is established between temporal encoding and window-averaged mean rate encoding.
    • Objective criteria are presented for identifying significant use of temporal encoding.
    • Examples illustrate the differing capabilities of rate and temporal encoding schemes.

    Conclusions:

    • The proposed definition provides a precise framework for understanding temporal encoding in neuroscience.
    • Distinguishing between encoding and integration time windows is crucial for accurate interpretation of neural data.
    • The criteria facilitate the identification and study of neural systems employing temporal coding strategies.