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 Experiment Video

Updated: Jan 14, 2026

Presynaptic Dopamine Dynamics in Striatal Brain Slices with Fast-scan Cyclic Voltammetry
08:49

Presynaptic Dopamine Dynamics in Striatal Brain Slices with Fast-scan Cyclic Voltammetry

Published on: January 12, 2012

22.4K

Speed encoding in the rat striatum.

Paulo H Lopes1, Lucas C S Tavares2, Adriano B L Tort2

  • 1Bioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.

Plos One
|October 27, 2025
PubMed
Summary
This summary is machine-generated.

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

On CA1 ripple oscillations in rats and the reassessment of asynchronicity evidence.

eLife·2025
Same author

Global coordination of brain activity by the breathing cycle.

Nature reviews. Neuroscience·2025
Same author

Breathing Modulates Network Activity in Frontal Brain Regions during Anxiety.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2024
Same author

Population bursts in a modular neural network as a mechanism for synchronized activity in KNDy neurons.

PLoS computational biology·2024
Same author

Author Correction: 5-MeO-DMT induces sleep-like LFP spectral signatures in the hippocampus and prefrontal cortex of awake rats.

Scientific reports·2024
Same author

5-MeO-DMT induces sleep-like LFP spectral signatures in the hippocampus and prefrontal cortex of awake rats.

Scientific reports·2024
Same journal

Mental health of healthcare workers in England during the first three years of the COVID-19 pandemic: The NHS CHECK study cohort.

PloS one·2026
Same journal

Research on trajectory tracking control of tracked vehicles based on hydraulic motor system identification and Laguerre-MPC.

PloS one·2026
Same journal

A collaborative cervical precancer screening strategy with concurrent HPV genotyping and visual inspection using alumni of a training centre across Ghana: The Rotary 'Protect Your Pearl' initiative.

PloS one·2026
Same journal

Removal efficiency of pesticide residues on pesticide-spiked Perilla Leaf and Broccoli surfaces using microplasma-treated water.

PloS one·2026
Same journal

Cross-domain zero-shot semantic segmentation for unstructured environments via EVA-CLIP model, ensemble prompt engineering, and optimized text-image matching.

PloS one·2026
Same journal

Adaptive robust sparse representation for face recognition based on weighted and fusion dictionary.

PloS one·2026
See all related articles

The rat striatum robustly encodes locomotion speed using diverse neuron types, regardless of behavioral context. This neural representation is stable and predictive, highlighting the striatum's role in movement modulation.

Area of Science:

  • Neuroscience
  • Motor Control Research
  • Computational Neuroscience

Background:

  • The striatum is crucial for motor control.
  • Dynamic representation of locomotion speed in the striatum across contexts is not well understood.

Purpose of the Study:

  • Investigate striatal encoding of locomotion speed in rats during a T-maze task.
  • Determine if speed representation is context-dependent.

Main Methods:

  • Recorded activity of striatal neurons in rats performing an automated T-maze task.
  • Analyzed neuronal correlations with locomotion speed.
  • Examined influence of behavioral context (time, cues, choice, outcome) on speed representation.
  • Investigated temporal dynamics and predictive power of neuronal activity for speed.

More Related Videos

A Task for Assessing the Impact of a Partner on the Speed and Accuracy of Motor Performance in Rats
06:17

A Task for Assessing the Impact of a Partner on the Speed and Accuracy of Motor Performance in Rats

Published on: October 17, 2019

5.2K
A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents
09:13

A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents

Published on: May 3, 2012

14.8K

Related Experiment Videos

Last Updated: Jan 14, 2026

Presynaptic Dopamine Dynamics in Striatal Brain Slices with Fast-scan Cyclic Voltammetry
08:49

Presynaptic Dopamine Dynamics in Striatal Brain Slices with Fast-scan Cyclic Voltammetry

Published on: January 12, 2012

22.4K
A Task for Assessing the Impact of a Partner on the Speed and Accuracy of Motor Performance in Rats
06:17

A Task for Assessing the Impact of a Partner on the Speed and Accuracy of Motor Performance in Rats

Published on: October 17, 2019

5.2K
A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents
09:13

A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents

Published on: May 3, 2012

14.8K

Main Results:

  • Most analyzed striatal neurons (78%), including medium spiny neurons (MSNs) and fast-spiking interneurons (FSIs), showed robust correlations with locomotion speed.
  • Speed-related activity was stable and unaffected by behavioral context.
  • Distinct temporal dynamics observed between MSNs and FSIs in relation to speed changes.
  • Striatal neuron firing rates reliably predicted locomotion speed, improving with population decoding.

Conclusions:

  • The rat striatum exhibits a robust, context-independent representation of locomotion speed.
  • Diverse striatal cell types contribute to movement modulation.
  • Findings extend previous knowledge to tasks with higher cognitive demands.