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

Somatosensation01:33

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at the...

You might also read

Related Articles

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

Sort by
Same author

Pixel-level understanding of a world in motion within a neural encoding framework.

Scientific reports·2026
Same author

Optimizing elderly care: A data-driven AI model for predicting polypharmacy risk in the elderly using SHARE data.

Neuroscience·2025
Same author

High-level visual processing in the lateral geniculate nucleus revealed using goal-driven deep learning.

Journal of neuroscience methods·2025
Same author

Toward calibration-free motor imagery brain-computer interfaces: a VGG-based convolutional neural network and WGAN approach.

Journal of neural engineering·2024
Same author

On the role of generative artificial intelligence in the development of brain-computer interfaces.

BMC biomedical engineering·2024
Same author

Generative adversarial networks in EEG analysis: an overview.

Journal of neuroengineering and rehabilitation·2023

Related Experiment Video

Updated: May 31, 2026

Simultaneous Recordings of Cortical Local Field Potentials and Electrocorticograms in Response to Nociceptive Laser Stimuli from Freely Moving Rats
07:52

Simultaneous Recordings of Cortical Local Field Potentials and Electrocorticograms in Response to Nociceptive Laser Stimuli from Freely Moving Rats

Published on: January 7, 2019

Millisecond-timescale local network coding in the rat primary somatosensory cortex.

Seif Eldawlatly1, Karim G Oweiss

  • 1Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, United States of America.

Plos One
|July 9, 2011
PubMed
Summary
This summary is machine-generated.

Precise neural firing patterns in rat somatosensory cortex integrate whisker information. This temporal coding enhances sensory processing and motor control, revealing a sophisticated network mechanism.

More Related Videos

Juxtacellular Monitoring and Localization of Single Neurons within Sub-cortical Brain Structures of Alert, Head-restrained Rats
08:41

Juxtacellular Monitoring and Localization of Single Neurons within Sub-cortical Brain Structures of Alert, Head-restrained Rats

Published on: April 27, 2015

Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn
07:12

Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn

Published on: May 23, 2025

Related Experiment Videos

Last Updated: May 31, 2026

Simultaneous Recordings of Cortical Local Field Potentials and Electrocorticograms in Response to Nociceptive Laser Stimuli from Freely Moving Rats
07:52

Simultaneous Recordings of Cortical Local Field Potentials and Electrocorticograms in Response to Nociceptive Laser Stimuli from Freely Moving Rats

Published on: January 7, 2019

Juxtacellular Monitoring and Localization of Single Neurons within Sub-cortical Brain Structures of Alert, Head-restrained Rats
08:41

Juxtacellular Monitoring and Localization of Single Neurons within Sub-cortical Brain Structures of Alert, Head-restrained Rats

Published on: April 27, 2015

Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn
07:12

Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn

Published on: May 23, 2025

Area of Science:

  • Neuroscience
  • Computational Neuroscience

Background:

  • Neural correlations are vital for sensory processing, with temporal precision potentially enhancing information flow.
  • The role of precise spike timing in integrating information at sensory pathway outputs is not well understood.

Purpose of the Study:

  • To investigate spike timing correlation among layer V neurons in the rat primary somatosensory cortex during whisker stimulation.
  • To quantify the causal influence between neurons with millisecond precision using Bayesian statistics and information theory.

Main Methods:

  • Simultaneous recording of layer V neurons in anesthetized rats during unilateral whisker stimulation.
  • Application of Bayesian statistics and information theory to infer dynamic Bayesian networks.
  • Analysis of network similarity and information content for whisker identity.

Main Results:

  • Stable, whisker-specific Bayesian networks showed high similarity (83.3±6%) within whiskers compared to across whiskers (50.3±18%).
  • These networks provided significantly more information about whisker identity than individual neuron latency or spike count.
  • Predicting individual neuron firing based on presynaptic activity was 3 times more accurate than using stimulus onset alone.

Conclusions:

  • A temporally precise network coding mechanism exists in the primary somatosensory cortex.
  • This mechanism integrates information about vibrissa position and whisking kinetics across neighboring columns.
  • This integration likely mediates whisker movement control via motor areas innervated by layer V neurons.