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

Spike timing-dependent synaptic plasticity in visual cortex: a modeling study.

Yao-Song Shen1, Hongfeng Gao, Haishan Yao

  • 1Division of Neurobiology, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA. yaosongshen@hotmail.com

Journal of Computational Neuroscience
|March 25, 2005
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

Heterogeneity of clinical features, EEG and brain imaging findings in anti-leucine-rich glioma-inactivated protein 1 autoimmune encephalitis: a retrospective case series study and review of the literature.

Acta epileptologica·2025
Same author

Single-neuron projectome reveals organization of somatosensory ascending pathways in the mouse brain.

Neuron·2025
Same author

Business Intent and Network Slicing Correlation Dataset from Data-Driven Perspective.

Scientific data·2025
Same author

Association Between Average Daily Activity Counts and Knee Osteoarthritis Progression.

American journal of physical medicine & rehabilitation·2025
Same author

Whole-brain Mapping of Inputs and Outputs of Specific Orbitofrontal Cortical Neurons in Mice.

Neuroscience bulletin·2024
Same author

Bidirectional regulation of levodopa-induced dyskinesia by a specific neural ensemble in globus pallidus external segment.

Cell reports. Medicine·2024
Same journal

Hierarchical learning creates invariant schema within plastic neural networks.

Journal of computational neuroscience·2026
Same journal

Intrinsic chaos control in cortical circuits: A minimal E-I-M rate model for primary visual cortex.

Journal of computational neuroscience·2026
Same journal

Modeling developmental spiking behavior driven by ionic current dynamics of mouse and human inner hair cells using a calcium-enhanced Izhikevich framework.

Journal of computational neuroscience·2026
Same journal

A biophysically grounded model of glutamatergic synaptic transmission integrating glutamate transport, receptor kinetics, and electrotonic effects.

Journal of computational neuroscience·2026
Same journal

When can neuronal activity-dependent homeostatic plasticity maintain circuit-level properties?

Journal of computational neuroscience·2026
Same journal

A charge conservative finite volume discretization of the Hodgkin-Huxley model.

Journal of computational neuroscience·2026
See all related articles

Spike timing-dependent synaptic plasticity modifies visual cortex neuron tuning. Moving stimuli effectively induce these changes, highlighting their role in dynamic cortical map modification.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual System Research

Background:

  • Synaptic modification is crucial for learning and memory.
  • The precise timing of neuronal firing (spike timing) influences synaptic plasticity.
  • Understanding these mechanisms in the visual cortex is key to deciphering visual processing.

Purpose of the Study:

  • To explore the functional implications of spike timing-dependent synaptic plasticity (STDP) in the visual cortex.
  • To model how STDP affects intracortical excitatory connections.
  • To investigate the role of stimulus movement in STDP-induced cortical map changes.

Main Methods:

  • Simulated a model circuit of the visual cortex with modifiable intracortical excitatory connections.
  • Used two-point stimuli in a topographically represented feature space to mimic experimental conditions.

Related Experiment Videos

  • Analyzed the dependence of results on model parameters, including the ratio of excitatory to inhibitory synaptic input.
  • Investigated the impact of moving stimuli on synaptic modification.

    • Main Results:

    • Simulations replicated experimental findings on neuronal tuning modification.
    • Identified critical intracortical parameters influencing the magnitude of synaptic shifts.
    • Established a relationship between the shift magnitude and the balance of excitation and inhibition (S = σ_rec_exc / σ_inh_rec).
    • Demonstrated that moving stimuli effectively induce STDP in model intracortical connections.

    Conclusions:

    • Spike timing-dependent synaptic plasticity plays a significant role in modifying visual cortex neuronal tuning.
    • Moving stimuli are effective in driving STDP and dynamically altering cortical maps.
    • The balance between excitation and inhibition is a critical factor in the extent of synaptic modification.