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

Feedback Inhibition00:46

Feedback Inhibition

Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
Propagation of Action Potentials01:23

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
Design Example: Frog Muscle Response01:14

Design Example: Frog Muscle Response

A student is tasked to work on an intriguing experiment involving an RL (Resistor-Inductor) circuit to study the muscle response of a frog's leg to electrical stimulation. The RL circuit plays a crucial role in this experiment, providing the means to control and measure the electrical impulses that trigger muscle contraction.
When the switch connecting the RL circuit is closed, a brief muscle contraction is observed. This is because, at a steady state, the inductor acts like a short circuit,...
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model01:29

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...

You might also read

Related Articles

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

Sort by
Same author

Evaluation of vowel duration as a cue for the voicing distinction in the following word-final consonant.

The Journal of the Acoustical Society of America·1980
Same author

Digital gating of speech signals.

Language and speech·1976
See all related articles

Related Experiment Video

Updated: Jul 24, 2026

Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

Computer simulation of an ideal lateral inhibition function.

A J Rozsypal

    Biological Cybernetics
    |January 1, 1985
    PubMed
    Summary

    Lateral inhibition in the auditory system enhances frequency resolution beyond mechanical limits. This neural mechanism sharpens hearing selectivity, compensating for inner ear limitations and improving sound perception.

    Area of Science:

    • Neuroscience
    • Auditory Neuroscience
    • Sensory Processing

    Background:

    • The mechanical properties of the inner ear alone do not explain the high frequency resolution observed in human hearing.
    • Electrophysiological and psychoacoustical experiments suggest an additional neural mechanism is involved in auditory frequency selectivity.
    • Lateral inhibition is a known neural process that can enhance signal contrast and selectivity in sensory systems.

    Purpose of the Study:

    • To develop a computational model for lateral inhibition in the auditory system.
    • To determine the optimal shape of a lateral inhibition function for auditory frequency resolution.
    • To investigate the potential applicability of this lateral inhibition model to other sensory modalities.

    Main Methods:

    • A computer simulation study was conducted to derive the parameters of an ideal lateral inhibition function.

    More Related Videos

    Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
    08:08

    Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

    Published on: June 24, 2015

    Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
    10:50

    Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

    Published on: June 21, 2022

    Related Experiment Videos

    Last Updated: Jul 24, 2026

    Designing and Implementing Nervous System Simulations on LEGO Robots
    10:34

    Designing and Implementing Nervous System Simulations on LEGO Robots

    Published on: May 25, 2013

    Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
    08:08

    Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

    Published on: June 24, 2015

    Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
    10:50

    Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

    Published on: June 21, 2022

  • The model was analyzed in the context of the auditory channel, specifically addressing the basilar membrane's mechanical properties.
  • The derived function's potential benefits for frequency resolution in hearing and aberration compensation in vision were theoretically assessed.
  • Main Results:

    • An ideal lateral inhibition function was computationally derived.
    • This function was shown to effectively counteract the frequency desharpening effects of the basilar membrane in the auditory system.
    • The model suggests that lateral inhibition can achieve the sharpest possible frequency resolution in hearing.

    Conclusions:

    • Lateral inhibition in the auditory neural network is crucial for achieving high frequency selectivity in hearing.
    • The derived lateral inhibition function can compensate for mechanical limitations of the inner ear, significantly enhancing auditory perception.
    • The principles of this lateral inhibition model may be generalizable to other sensory systems, including vision, to improve signal processing.