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

From biophysics to models of network function

E Marder1

  • 1Volen Center, Brandeis University, Waltham, Massachusetts 02254, USA. marder@volen.brandeis.edu

Annual Review of Neuroscience
|April 8, 1998
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

Oscillating Networks: Control of Burst Duration by Electrically Coupled Neurons.

Neural computation·2019
Same author

Central pattern generators and the control of rhythmic movements.

Current biology : CB·2001
Same author

Prevalence of autism in early 1970s may have been underestimated.

BMJ (Clinical research ed.)·2001
Same author

GABA enhances transmission at an excitatory glutamatergic synapse.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2001
Same author

Global structure, robustness, and modulation of neuronal models.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2001
Same author

Modulators with convergent cellular actions elicit distinct circuit outputs.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2001
Same journal

Body-Brain Integration: The Lower Brainstem in Sleep-Wake Regulation.

Annual review of neuroscience·2026
Same journal

Planning in the Brain: It's Not What You Think It Is.

Annual review of neuroscience·2026
Same journal

The Emerging Neurobiology of Psychedelics: Critical Periods, Metaplasticity, and Extracellular Matrix Remodeling.

Annual review of neuroscience·2026
Same journal

Rethinking Predictive Processing.

Annual review of neuroscience·2026
Same journal

Path Integration in Alzheimer's Disease: Orientation, Movement, and Theta Rhythmicity.

Annual review of neuroscience·2026
Same journal

The Cellular and Circuit Basis of Temperature Sensation in <i>Drosophila</i>.

Annual review of neuroscience·2026
See all related articles

Short-term synaptic plasticity, including facilitation and depression, significantly impacts neural network function. These dynamic processes, alongside neuromodulation, are crucial for understanding brain integration and behavior.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neurons and synapses exhibit complex time-dependent processes.
  • Current computational models often oversimplify neuronal dynamics and synaptic strengths, assuming they are fixed.
  • Understanding how these dynamic properties influence brain function is a key challenge.

Purpose of the Study:

  • To review recent computational models highlighting the role of short-term synaptic plasticity in neural network function.
  • To explore other synaptic features like multi-component potentials, cotransmission, and neuromodulation.
  • To illustrate how dynamic synaptic and intrinsic properties shape network behavior.

Main Methods:

  • Review of recent computational modeling studies.

Related Experiment Videos

  • Analysis of synaptic plasticity mechanisms (facilitation, depression).
  • Examination of synaptic transmission features (multi-component potentials, cotransmission, neuromodulation).
  • Main Results:

    • Short-term synaptic plasticity mechanisms critically influence network function.
    • Dynamic variations in synaptic strength and intrinsic neuronal properties occur on multiple timescales.
    • Temporal activity patterns and the modulatory environment continuously alter network properties.

    Conclusions:

    • Synaptic plasticity and neuromodulation are essential for understanding brain integrative functions.
    • Neuronal network behavior is determined by a dynamic interplay of firing frequency and modulatory influences.
    • Dynamic synaptic and intrinsic properties are fundamental to producing behavior.