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

Neural Circuits

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...

Propagation of Action Potentials

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...

You might also read

Related Articles

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

Sort by

Same author

Self-Organized Neural Integrators in Noisy Spiking Networks.

bioRxiv : the preprint server for biology·2026

Same author

EEG responses to auditory stimuli are less context-dependent in preschoolers with autism spectrum disorder compared to typical development.

medRxiv : the preprint server for health sciences·2026

Same author

Twelve-Year Follow-up of Osteochondral Allograft Transplant in Management of Gunshot Wound to Lateral Distal Femoral Condyle: A Case Report.

JBJS case connector·2026

Same author

Intrawound Tobramycin Plus Vancomycin to Prevent Surgical Site Infection in Tibial Fractures: The TOBRA Randomized Clinical Trial.

JAMA·2026

Same author

Biomimetic Hematoma Promotes Superior Bone Regeneration With Ultra-low-Dose rhBMP-2 in a Goat Large-Defect Model.

Journal of orthopaedic trauma·2026

Same author

The neurovascular impulse response function differentially reflects intrinsic neuromodulation across cortical regions.

Nature neuroscience·2026

Search research articles

Related Experiment Video

Updated: Apr 27, 2026

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

What does scalar timing tell us about neural dynamics?

Harel Z Shouval¹, Marshall G Hussain Shuler², Animesh Agarwal³

¹Deptartment of Neurobiology and Anatomy, University of Texas Medical School at Houston Houston, TX, USA.

Frontiers in Human Neuroscience

|July 5, 2014

Summary

This study explains the neural basis of scalar timing, showing how log-power firing rate functions explain temporal estimation errors in humans and animals. These findings offer a physiological explanation for the Scalar Timing Law.

Keywords:

Weber's law neural dynamics scalar timing temporal coding temporal intervals

More Related Videos

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

Related Experiment Videos

Last Updated: Apr 27, 2026

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

Area of Science:

Neuroscience
Computational Neuroscience
Psychophysics

Background:

The Scalar Timing Law describes how temporal estimation errors scale linearly with interval duration.
This law is observed across species but lacks a clear physiological explanation.
Neural variability is hypothesized to underlie behavioral variability in timing.

Purpose of the Study:

To derive neural firing rate functions consistent with the Scalar Timing Law.
To provide a physiological basis for scalar timing.
To investigate the relationship between neural variability and temporal estimation.

Main Methods:

Derivation of firing rate functions from the assumption of neural variability.
Mathematical modeling using a linear approximation.
Computer simulations to validate the derived log-power firing rate functions.
Analysis of spike count statistics and their influence on timing parameters.

Main Results:

Log-power firing rate functions were derived and shown to be consistent with scalar timing.
Simulations confirmed that these functions predict scalar timing over wide parameter ranges.
A slight overestimation bias was observed, correctable with an iterative threshold learning approach.

Conclusions:

Neural variability, modeled by log-power firing rate functions, can explain the Scalar Timing Law.
The study provides a potential physiological mechanism for accurate temporal interval estimation.
The findings offer a framework for understanding timing mechanisms in neural systems.