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

Quantification, smoothing, and confidence limits for single-units' histograms.

M Abeles

    Journal of Neuroscience Methods
    |May 1, 1982
    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

    On the Presence of Sugar in Healthy Blood.

    Edinburgh medical journal·2018
    Same author

    Imaging the Spatiotemporal Dynamics of Cognitive Processes at High Temporal Resolution.

    Neural computation·2018
    Same author

    Revealing instances of coordination among multiple cortical areas.

    Biological cybernetics·2013
    Same author

    Extracting cortical current dipoles from MEG recordings.

    Journal of neuroscience methods·2013
    Same author

    Cleaning MEG artifacts using external cues.

    Journal of neuroscience methods·2013
    Same author

    Sensitivity of global network dynamics to local parameters versus motif structure in a cortexlike neuronal model.

    Physical review. E, Statistical, nonlinear, and soft matter physics·2012
    Same journal

    Detection of cochlear microphonic for differential diagnosis between auditory neuropathy mice and noise-induced sensorineural hearing loss mice.

    Journal of neuroscience methods·2026
    Same journal

    Assessment metrics for pain control in rats: A methodological commentary.

    Journal of neuroscience methods·2026
    Same journal

    Infant EEG preprocessing pipelines: A capability framework and current gaps in practice.

    Journal of neuroscience methods·2026
    Same journal

    Methods for measuring neural activity during voluntary wheel running.

    Journal of neuroscience methods·2026
    Same journal

    Serotype-dependent differences in AAV cellular transduction rates in the hypothalamus of Arctic ground squirrels.

    Journal of neuroscience methods·2026
    Same journal

    Rapid generation of human sensory neurons from iPSC for modeling of peripheral neuropathies.

    Journal of neuroscience methods·2026
    See all related articles

    This study proposes expressing neuronal firing rate, probability, and counts in spikes per second for consistent analysis. This method standardizes histograms, autocorrelations, and cross-correlations, making them independent of measurement time and bin size.

    Area of Science:

    • Neuroscience
    • Computational Neuroscience
    • Signal Processing

    Background:

    • Neuronal activity analysis often involves histograms, autocorrelations, and cross-correlations.
    • Existing methods can be sensitive to bin size and measurement duration.
    • Standardization is needed for reliable interpretation of neuronal firing patterns.

    Purpose of the Study:

    • To propose a unified method for analyzing neuronal firing rate, probability, and counts.
    • To ensure that analyses of neuronal data are independent of bin size and measurement time.
    • To provide practical methods for computing confidence limits and smoothing histograms.

    Main Methods:

    • Expressing PSTHs, autocorrelations, and cross-correlations in units of firing rates (spikes/s).

    Related Experiment Videos

  • Developing methods for computing confidence limits based on Poisson-point process null hypothesis.
  • Utilizing a sliding bell-shaped bin for minimizing histogram distortion in time and frequency domains.

    • Main Results:

    • Firing rate units provide scale-invariant measures for neuronal data analysis.
    • The proposed methods allow for robust computation of confidence limits.
    • Bell-shaped bins effectively smooth histograms with minimal shape distortion.

    Conclusions:

    • Standardizing neuronal data analysis in spikes/s enhances reliability and comparability.
    • The described methods offer practical tools for neurophysiologists.
    • Understanding these methods aids in the interpretation of neuronal firing characteristics.