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 coding of time-varying stimuli.

Maoz Shamir1, Kamal Sen, H Steven Colburn

  • 1Hearing Research Center, Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA. shamir@bu.edu

Neural Computation
|November 1, 2007
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

Author Correction: Parvalbumin neurons enhance temporal coding and reduce cortical noise in complex auditory scenes.

Communications biology·2025
Same author

Parvalbumin neurons and cortical coding of dynamic stimuli: a network model.

Journal of neurophysiology·2025
Same author

Acoustic Realism of Clinical Speech-in-Noise Testing: Parameter Ranges of Speech-Likeness, Interaural Coherence, and Interaural Differences.

Trends in hearing·2025
Same author

Noise correlations and neuronal diversity may limit the utility of winner-take-all readout in a pop out visual search task.

PLoS computational biology·2025
Same author

A brain-inspired algorithm improves "cocktail party" listening for individuals with hearing loss.

Communications engineering·2025
Same author

Overexpression of the schizophrenia risk gene C4 in PV cells drives sex-dependent behavioral deficits and circuit dysfunction.

iScience·2024
Same journal

A Model-Free Reinforcement Learning Implementation of Decision Making Under Uncertainty by Sequential Sampling.

Neural computation·2026
Same journal

DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning.

Neural computation·2026
Same journal

Hierarchical Active Inference Using Successor Representations.

Neural computation·2026
Same journal

W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators.

Neural computation·2026
Same journal

A Hidden Markov Model-Inspired Sequence Classification Method for Hyperdimensional Computing.

Neural computation·2026
Same journal

Sparse Graphical Modeling for Electrophysiological Phase-Based Connectivity Using Circular Statistics.

Neural computation·2026
See all related articles

The brain

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Information Theory

Background:

  • Temporal structure is crucial for sensory and motor processing in the brain.
  • Neuronal activity often encodes stimulus features through time-dependent firing patterns.
  • Understanding the information capacity of these temporal codes is essential.

Discussion:

  • This study models neuronal responses to time-varying stimuli in a forced-choice task.
  • It investigates how observation time and temporal noise correlations affect information content.
  • The impact of finite temporal resolution on neural code interpretation is also examined.

Key Insights:

  • Neuronal information content scales linearly with observation time, even with temporal noise correlations.

Related Experiment Videos

  • Positive temporal noise correlations reduce information content but do not alter the linear scaling.
  • Most information can be extracted from neural responses using a finite temporal resolution.

    • Outlook:

    • Further research can explore optimal temporal resolutions for different neural systems.
    • Investigating the biological mechanisms underlying efficient temporal coding is warranted.
    • This work provides a framework for analyzing information processing in neural circuits.