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

Switching of BJT01:22

Switching of BJT

Switching behavior in Bipolar Junction Transistors (BJTs) is a fundamental aspect utilized in various electronic circuits, particularly for digital logic applications like switches and amplifiers. In a typical switching circuit, a BJT alternates between cut-off and saturation modes, corresponding to the "off" and "on" states, respectively, thus behaving like an ideal switch.
Cut-off Mode ("Off" State): In this state, both the emitter-base and collector-base junctions are reverse-biased. The...

You might also read

Related Articles

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

Sort by
Same author

In Vivo Imaging With a Low-Cost MRI Scanner and Cloud Data Processing in Low-Resource Settings.

NMR in biomedicine·2026
Same author

Genome admixture analysis of 1,030 Ugandan infants with neonatal sepsis and hydrocephalus demonstrates geographical stratification of population disease risk.

medRxiv : the preprint server for health sciences·2026
Same author

Genomic evidence of convergence of multidrug resistance and enhanced virulence in carbapenem- and colistin-resistant <i>Klebsiella pneumoniae</i> from Turkey.

Microbiology spectrum·2026
Same author

Clonal dissemination of mcr-1.1-positive Escherichia coli ST10 among healthy children in geographically-distant cities.

American journal of infection control·2026
Same author

Tsunamis hiding in plain sight: spreading depression in clinical neurology.

Nature reviews. Neurology·2026
Same author

<i>Paenibacillus dendritiformis</i> as a Cause of Destructive Meningitis in Infants.

NEJM evidence·2026
Same journal

Automated Behavior Analysis in the Novel Object Recognition Test.

Neurocomputing·2026
Same journal

CrunchLLM: Multitask LLMs for Structured Business Reasoning and Outcome Prediction.

Neurocomputing·2026
Same journal

Deep Learning for analyzing chaotic dynamics in biological time series: Insights from frog heart signals.

Neurocomputing·2026
Same journal

SymRefine: A symbolic regression approach for refining and compressing neural networks.

Neurocomputing·2026
Same journal

Artificial intelligence without restriction surpassing human intelligence with probability one: Theoretical insight into secrets of the brain with AI twins of the brain.

Neurocomputing·2025
Same journal

ShaderNN: A Lightweight and Efficient Inference Engine for Real-time Applications on Mobile GPUs.

Neurocomputing·2025
See all related articles

Related Experiment Video

Updated: Jun 15, 2026

Generation of Local CA1 &#947; Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

Switching between gamma and theta: Dynamic network control using subthreshold electric fields.

Julia Berzhanskaya1, Anatoli Gorchetchnikov, Steven J Schiff

  • 1Krasnow Institute for Advanced Study, George Mason University, MS 2A1, Fairfax, VA 22030, USA.

Neurocomputing
|January 11, 2008
PubMed
Summary
This summary is machine-generated.

Researchers developed a 2D hippocampus model using electric fields to control neural oscillations (theta and gamma). This method offers a flexible way to study brain rhythms and potentially suppress seizures.

More Related Videos

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

Related Experiment Videos

Last Updated: Jun 15, 2026

Generation of Local CA1 &#947; Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

Area of Science:

  • Computational neuroscience
  • Neural oscillations
  • Hippocampal circuitry

Background:

  • The hippocampus generates theta and gamma oscillations crucial for cognition.
  • Existing methods to modulate these rhythms often require pharmacological interventions.

Purpose of the Study:

  • To develop a computational model of the hippocampus capable of dynamically switching between theta and gamma oscillation regimes.
  • To investigate the potential of using external electric fields to control neural activity in the hippocampus.

Main Methods:

  • A two-dimensional computational model of the hippocampus was implemented, including pyramidal, basket, and oriens lacunosum-moleculare (OLM) neurons.
  • The model incorporated an experimentally observed orthogonal arrangement of theta and gamma generation circuitry.
  • Continuous electric fields were applied to the model to modulate neuronal activity and oscillation states.

Main Results:

  • The model successfully switched between theta, gamma, and mixed theta-gamma regimes by applying continuous electric fields, without needing drugs.
  • Simulations demonstrated that electric field effects on individual neurons, based on experimental data, could drive network-level oscillations.
  • The study predicts that adaptive subthreshold electric fields can flexibly modulate neuronal ensemble activity.

Conclusions:

  • A novel, flexible experimental technique using adaptive electric fields is proposed for modulating hippocampal oscillations.
  • This technique could be valuable for testing cognitive correlates of neural rhythms.
  • The approach may also offer a method for suppressing epileptiform activity.