Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Parallel Processing

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

Sampling Continuous Time Signal

Sampling Continuous Time Signal

In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...

Graded Potential

Graded Potential

Graded potentials are localized fluctuations in the cell membrane's electrical charge, commonly found in the dendrites of neurons. The magnitude of these potential changes depends on the strength of the initiating stimulus. In a membrane at its resting potential, a graded potential signifies a voltage shift either above -70 mV or below -70 mV.
Graded potentials fall into two categories: depolarizing and hyperpolarizing. Depolarizing graded potentials typically occur when sodium (Na+) or calcium...

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...

You might also read

Related Articles

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

Sort by

Same author

Fundamental limits of non-Hermitian sensing from quantum Fisher information.

Reports on progress in physics. Physical Society (Great Britain)·2026

Same author

Field theory for optimal signal propagation in residual networks.

Physical review. E·2026

Same author

Self-induced superradiant masing.

Nature physics·2026

Same author

Wavefront Shaping of Scattering Forces Enhances Optical Trapping of Levitated Nanoparticles.

Nature communications·2025

Same author

Building on models-a perspective for computational neuroscience.

Cerebral cortex (New York, N.Y. : 1991)·2025

Same author

Dynamic and geometric shifts in wave scattering.

Reports on progress in physics. Physical Society (Great Britain)·2025

Same journal

DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.

PLoS computational biology·2026

Same journal

Redefining and estimating the early-phase reproduction ratio for epidemic outbreaks in spatially structured populations.

PLoS computational biology·2026

Same journal

Optimized phenotype definitions boost GWAS power.

PLoS computational biology·2026

Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026

Same journal

Exploring the structural lexicon of the Proteome via Metric Geometry.

PLoS computational biology·2026

Same journal

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 8, 2026

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research

Published on: April 21, 2023

Instantaneous non-linear processing by pulse-coupled threshold units.

Moritz Helias¹, Moritz Deger, Stefan Rotter

¹RIKEN Brain Science Institute, Wako City, Japan. helias@brain.riken.jp

Plos Computational Biology

|September 22, 2010

Summary

This summary is machine-generated.

The integrate-and-fire neuron model

More Related Videos

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Related Experiment Videos

Last Updated: Jun 8, 2026

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research

Published on: April 21, 2023

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Area of Science:

Computational neuroscience
Neuronal network dynamics
Spiking neuron models

Background:

Current theories of spiking neuronal networks rely on the linear response of the integrate-and-fire neuron model.
This model is derived in the diffusion limit, assuming a simplified response to inputs.

Purpose of the Study:

To investigate the response of integrate-and-fire neurons to transient inputs beyond the diffusion limit.
To identify deviations from linear response theory for non-zero synaptic weights.

Main Methods:

Analysis of the integrate-and-fire neuron model with non-zero synaptic weights.
Mathematical derivation and simulation of neuronal responses to transient stimuli.
Examination of the probability density function of the membrane potential at threshold.

Main Results:

The neuron's response to transient inputs is instantaneous, not low-pass filtered, for non-zero synaptic weights.
Response is non-linearly dependent on input amplitude and asymmetric for excitatory and inhibitory inputs.
Synaptic background noise at a specific level promotes this novel response mechanism.
At threshold, the potential's probability density drops to zero within one synaptic weight range.

Conclusions:

The standard linear response approximation is inadequate for spiking neuronal networks with non-zero synaptic weights.
A novel, instantaneous response mechanism exists, shaped by synaptic weight and background noise.
This mechanism is a generic property of pulse-coupled networks of threshold units.