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

Relating STDP to BCM.

Eugene M Izhikevich1, Niraj S Desai

  • 1The Neurosciences Institute, San Diego, CA 92121, USA. Eugene.Izhikevich@nsi.edu

Neural Computation
|June 21, 2003
PubMed
Summary
This summary is machine-generated.

The BCM learning rule can be derived from spike-timing-dependent plasticity (STDP) under specific conditions. This occurs when neuron spike trains are uncorrelated and only nearby spike interactions are considered.

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

Diversification of dentate gyrus granule cell subtypes is regulated by Nrg1 nuclear back-signaling.

Life science alliance·2025
Same author

Comparative Physiology and Morphology of BLA-Projecting NBM/SI Cholinergic Neurons in Mouse and Macaque.

The Journal of comparative neurology·2024
Same author

Comparative physiology and morphology of BLA-projecting NBM/SI cholinergic neurons in mouse and macaque.

Research square·2024
Same author

A simple MATLAB toolbox for analyzing calcium imaging data in vitro and in vivo.

Journal of neuroscience methods·2024
Same author

Distinct subpopulations of ventral pallidal cholinergic projection neurons encode valence of olfactory stimuli.

Cell reports·2024
Same author

Functionally refined encoding of threat memory by distinct populations of basal forebrain cholinergic projection neurons.

Research square·2024

Area of Science:

  • Computational neuroscience
  • Neural plasticity

Background:

  • Spike-timing-dependent plasticity (STDP) is a key mechanism for synaptic plasticity.
  • The BCM learning rule describes synaptic potentiation and depression based on postsynaptic activity.

Purpose of the Study:

  • To investigate the theoretical relationship between STDP and the BCM learning rule.
  • To determine the conditions under which BCM emerges from STDP.

Main Methods:

  • Theoretical analysis of neural spike train interactions.
  • Focus on uncorrelated Poisson spike trains.
  • Consideration of only nearest-neighbor spike timing.

Main Results:

  • Demonstration that the BCM learning rule is a direct consequence of STDP.

Related Experiment Videos

  • Identification of uncorrelated or weakly correlated Poisson spike trains as a critical condition.
  • Highlighting the importance of nearest-neighbor spike interactions.

    • Conclusions:

    • STDP provides a foundational mechanism for the BCM learning rule.
    • The emergence of BCM from STDP is dependent on specific statistical properties of neural activity.
    • This finding unifies two important models of synaptic plasticity.