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

Neuronal assemblies.

G L Gerstein, P Bedenbaugh, M H Aertsen

    IEEE Transactions on Bio-Medical Engineering
    |January 1, 1989
    PubMed
    Summary
    This summary is machine-generated.

    This study explores neuronal assemblies in active brains, revealing that rapid firing correlations stem from changing neural connections or influences from unobserved neuron groups. Static connectivity within these pools is key.

    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

    Recordings, behaviour and models related to corticothalamic feedback.

    Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2003
    Same author

    Signal-to-noise ratio improvement in multiple electrode recording.

    Journal of neuroscience methods·2002
    Same author

    Neural assemblies: technical issues, analysis, and modeling.

    Neural networks : the official journal of the International Neural Network Society·2001
    Same author

    Reorganization in awake rat auditory cortex by local microstimulation and its effect on frequency-discrimination behavior.

    Journal of neurophysiology·2001
    Same author

    Daily variation and appetitive conditioning-induced plasticity of auditory cortex receptive fields.

    The European journal of neuroscience·2001
    Same author

    Role of mammalian auditory cortex in the perception of elementary sound properties.

    Journal of neurophysiology·2001
    Same journal

    Magnetic Resonance Spectroscopy Deep Learning with Magnetic Resonance Background Generator Enables In Vivo Metabolite Quantification of Hepatic Encephalopathy.

    IEEE transactions on bio-medical engineering·2026
    Same journal

    Use of RPNIs and Implanted Electrodes for Prosthetic Wrist and Multi-Grip Hand Control during Functional Tasks: A Case Study.

    IEEE transactions on bio-medical engineering·2026
    Same journal

    Healthy Limb Driven Prediction for Real Time Control of Unilateral Exoskeletons in Gait Rehabilitation.

    IEEE transactions on bio-medical engineering·2026
    Same journal

    A Miniature Wearable Ultrasound System for Continuous Bladder Monitoring with Sleeping-Position-Robust Modeling Strategies.

    IEEE transactions on bio-medical engineering·2026
    Same journal

    A Bi-objective Array Optimization Framework for Magnetocardiographic Source Imaging.

    IEEE transactions on bio-medical engineering·2026
    Same journal

    A Dynamic Mutual Information Measure of Phase-Amplitude Coupling with Uncertainty Quantification.

    IEEE transactions on bio-medical engineering·2026
    See all related articles

    Area of Science:

    • Neuroscience
    • Computational Neuroscience

    Background:

    • Neuronal assemblies are fundamental to brain function.
    • Recent technological advances enable studying neuronal assemblies in vivo.
    • Rapidly changing firing correlations are observed in neuronal assemblies.

    Purpose of the Study:

    • To investigate the causes of dynamic firing correlations in neuronal assemblies.
    • To differentiate between internal and external factors influencing assembly dynamics.

    Main Methods:

    • Analysis of literature on neuronal assemblies.
    • Examination of experimental data on neuronal firing patterns.
    • Computational modeling of neuronal network dynamics.

    Main Results:

    Related Experiment Videos

  • Dynamic firing correlations can arise from fluctuating synaptic strengths within an assembly.
  • Alternatively, dynamic correlations may result from the collective activity of a large, unobserved pool of neurons.
  • The underlying static connectivity of the larger neuronal pool significantly influences these dynamic effects.

    • Conclusions:

    • The dynamic nature of neuronal assemblies is shaped by both internal synaptic plasticity and external network interactions.
    • Understanding these factors is crucial for interpreting neuronal activity and assembly organization.
    • Static connectivity in larger neuronal networks plays a critical role in shaping observable assembly dynamics.