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

You might also read

Related Articles

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

Sort by
Same author

A brief overview of 20 years of neuroscience in PLoS Computational Biology.

PLoS computational biology·2026
Same author

Phase-Dependent Response to Electrical Stimulation of Cortical Networks during Recurrent Epileptiform Short Discharge Generation In Vitro.

International journal of molecular sciences·2024
Same author

Light-Driven Sodium Pump as a Potential Tool for the Control of Seizures in Epilepsy.

Molecular neurobiology·2023
Same author

Response retention and apparent motion effect in visual cortex models.

PloS one·2023
Same author

Single-compartment model of a pyramidal neuron, fitted to recordings with current and conductance injection.

Biological cybernetics·2023
Same author

Optogenetic Low-Frequency Stimulation of Principal Neurons, but Not Parvalbumin-Positive Interneurons, Prevents Generation of Ictal Discharges in Rodent Entorhinal Cortex in an In Vitro 4-Aminopyridine Model.

International journal of molecular sciences·2023

Related Experiment Video

Updated: Jul 6, 2026

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro
06:22

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Published on: August 28, 2019

Efficient evaluation of neuron populations receiving colored-noise current based on a refractory density method.

Anton V Chizhov1, Lyle J Graham

  • 1A.F. Ioffe Physico-Technical Institute of RAS, 26 Politekhnicheskaya Street, 194021 St. Petersburg, Russia. Anton.Chizhov@mail.ioffe.ru

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|March 21, 2008
PubMed
Summary

This study extends neuron firing models to include colored noise, approximating firing probability using membrane potential. This provides a more realistic model for neuron dynamics under noisy conditions.

More Related Videos

Examining Local Network Processing using Multi-contact Laminar Electrode Recording
13:40

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Published on: September 8, 2011

Identification of Specific Sensory Neuron Populations for Study of Expressed Ion Channels
11:34

Identification of Specific Sensory Neuron Populations for Study of Expressed Ion Channels

Published on: December 24, 2013

Related Experiment Videos

Last Updated: Jul 6, 2026

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro
06:22

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Published on: August 28, 2019

Examining Local Network Processing using Multi-contact Laminar Electrode Recording
13:40

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Published on: September 8, 2011

Identification of Specific Sensory Neuron Populations for Study of Expressed Ion Channels
11:34

Identification of Specific Sensory Neuron Populations for Study of Expressed Ion Channels

Published on: December 24, 2013

Area of Science:

  • Computational Neuroscience
  • Theoretical Neuroscience
  • Mathematical Biology

Background:

  • Stochastic neuron models are crucial for understanding neural dynamics.
  • Existing models often simplify noise as white noise, neglecting temporal correlations.
  • Colored noise is more biologically realistic and impacts neuron firing probability.

Purpose of the Study:

  • To extend existing white noise models for neuron firing to incorporate colored noise.
  • To develop an approximation for the firing probability of stochastic neurons under colored noise.
  • To analyze the impact of noise temporal correlations on neuron dynamics.

Main Methods:

  • Applied a refractory density approach to conductance-based neurons.
  • Solved the Kolmogorov-Fokker-Planck equation for colored noisy currents.
  • Developed an approximate hazard function using a sum of self-similar and frozen stationary solutions.

Main Results:

  • Proposed an approximation for neuron firing probability as a function of subthreshold membrane potential for colored noise.
  • The derived hazard function accurately approximates neuron firing under various mean voltage changes.
  • Demonstrated the quantitative effects of temporal noise correlations on leaky integrate-and-fire and conductance-based neurons.

Conclusions:

  • The proposed approximation effectively models neuron firing under colored noise.
  • Temporal correlations in noisy input significantly influence neuron dynamics.
  • This work provides a more refined tool for simulating and understanding neural networks with realistic noise characteristics.