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

You might also read

Related Articles

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

Sort by
Same author

Neuronal spiking in the mammalian forebrain is dominated by a heterogeneous ground state.

Neuron·2026
Same author

Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity.

ArXiv·2025
Same author

Global and local origins of trial-to-trial spike count variability in visual cortex.

bioRxiv : the preprint server for biology·2025
Same author

Author Correction: Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model.

Scientific reports·2025
Same author

Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks.

ArXiv·2024
Same author

Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model.

Scientific reports·2024

Related Experiment Video

Updated: Jun 4, 2026

Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats
10:46

Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats

Published on: June 22, 2017

A heterogeneous population code for elapsed time in rat medial agranular cortex.

Matthew S Matell1, Eric Shea-Brown, Cindy Gooch

  • 1Department of Psychology, Villanova University, 800 Lancaster Ave., Villanova, PA 19085, USA. matthew.matell@villanova.edu

Behavioral Neuroscience
|February 16, 2011
PubMed
Summary

Neural activity in the rat medial agranular cortex shows varied patterns like ramps, peaks, and dips. This neural firing heterogeneity aids in the temporal control of behavior and improves time prediction.

More Related Videos

Recording and Analysis of Circadian Rhythms in Running-wheel Activity in Rodents
05:46

Recording and Analysis of Circadian Rhythms in Running-wheel Activity in Rodents

Published on: January 24, 2013

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals
10:58

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

Published on: February 14, 2014

Related Experiment Videos

Last Updated: Jun 4, 2026

Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats
10:46

Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats

Published on: June 22, 2017

Recording and Analysis of Circadian Rhythms in Running-wheel Activity in Rodents
05:46

Recording and Analysis of Circadian Rhythms in Running-wheel Activity in Rodents

Published on: January 24, 2013

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals
10:58

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

Published on: February 14, 2014

Area of Science:

  • Neuroscience
  • Behavioral Science

Background:

  • The neural basis for precise temporal control of actions remains poorly understood.
  • Understanding how the brain represents and processes time is crucial for explaining complex behaviors.

Purpose of the Study:

  • To investigate neural mechanisms in the medial agranular cortex (mAG) related to temporal behavior.
  • To identify specific neural firing patterns associated with time estimation during a temporal production task.

Main Methods:

  • Recorded neural activity from medial agranular cortex neurons in rats performing a peak-interval timing task.
  • Analyzed neural firing patterns (ramps, peaks, dips) during 'steady state' response periods.
  • Utilized regularized linear discriminant analysis to assess information content of firing patterns.

Main Results:

  • Identified diverse neural firing patterns, including ramps, peaks, and dips, in the medial agranular cortex.
  • Demonstrated that these patterns reliably encode elapsed time within response periods.
  • Showed that neural firing heterogeneity significantly improves temporal prediction accuracy.

Conclusions:

  • Heterogeneity in neural firing patterns within the medial agranular cortex is a key mechanism for temporal control.
  • Varied neural representations of elapsed time enhance behavioral timing and reduce prediction errors.