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

Fast spike pattern detection using the correlation integral.

M Christen1, A Kern, A Nikitchenko

  • 1Institute of Neuroinformatics, University / ETH Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 25, 2004
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

Novel high-intensive cholesterol-lowering therapies do not ameliorate knee OA development in humanized dyslipidemic mice.

Osteoarthritis and cartilage·2021
Same author

Impact of air gap, range shifter, and delivery technique on skin dose in proton therapy.

Medical physics·2020
Same author

High-fat feeding primes the mouse knee joint to develop osteoarthritis and pathologic infrapatellar fat pad changes after surgically induced injury.

Osteoarthritis and cartilage·2020
Same author

Determination of surface dose in pencil beam scanning proton therapy.

Medical physics·2020
Same author

[Secondary resectability of liver metastases after chemotherapy with or without selective internal radiotherapy].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen·2019
Same author

Free-breathing quantification of regional ventilation derived by phase-resolved functional lung (PREFUL) MRI.

NMR in biomedicine·2019
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

We introduce a novel statistical method using the correlation integral to detect neuronal firing patterns, overcoming computational challenges of traditional template-based approaches. This reliable technique accurately identifies patterns even with noisy data.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Statistical Analysis

Background:

  • Traditional methods for detecting neuronal firing patterns rely on template matching.
  • Increasing pattern length in template-based methods significantly escalates computational costs.
  • Existing approaches face challenges in efficiency and scalability with complex neuronal data.

Purpose of the Study:

  • To propose a novel statistical approach for detecting neuronal firing patterns.
  • To address the computational limitations of conventional template-based methods.
  • To offer a more efficient and reliable alternative for analyzing neural activity.

Main Methods:

  • Utilized the correlation integral as a statistical basis for pattern detection.
  • Applied the proposed method to both simulated (model) and real neuronal data.

Related Experiment Videos

  • Evaluated the method's performance and reliability, particularly in the presence of noise.

    • Main Results:

    • The correlation integral method demonstrated reliability in detecting neuronal firing patterns.
    • The approach proved effective even when analyzing noisy data.
    • The study yielded novel insights into the characteristics of correlation-integral anomalies.

    Conclusions:

    • The correlation integral offers a robust and computationally efficient alternative for analyzing neuronal firing patterns.
    • This statistical method provides a reliable tool for neuroscience research, especially with noisy or complex datasets.
    • Further investigation into correlation-integral anomalies may reveal deeper understanding of neural dynamics.