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

Somatosensory, Motor, and Association Cortex

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...

Action Potential

Action Potential

Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...

You might also read

Related Articles

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

Sort by

Same author

Competition Between Memory Updating and Differentiation Emerges From Intrinsic Network Dynamics.

Neural computation·2026

Same author

PriMAT: Robust multi-animal tracking of primates in the wild.

PloS one·2026

Same author

Kinematic modulation across the ontogenetic transition to active social engagement.

Early human development·2026

Same author

To update or to separate: Neural signatures and consequences of latent cause inference in episodic memory.

NeuroImage·2026

Same author

InFoRM: a unified inverse and forward model for sensorimotor control.

Scientific reports·2026

Same author

Self-serving biases shape the relationship between future thinking and remembering of elections.

Communications psychology·2026

Same journal

Segmentation of the parasagittal dura mater on multi-center 3D-FLAIR MRI.

NeuroImage·2026

Same journal

Spatial frequency channels implement a mental ruler in spatial vision.

NeuroImage·2026

Same journal

Exploring the Link Between Intravoxel Incoherent Motion Measured Brain Diffusivity During Wakefulness and Sleep Macrostructure in the Elderly.

NeuroImage·2026

Same journal

Closed-loop adaptation of transcranial magnetic stimulation intensity with electroencephalography feedback.

NeuroImage·2026

Same journal

Volumetric postmortem MRI of the medial temporal lobe in Alzheimer's disease and related disorders: methodological advances and implications for in vivo biomarker development.

NeuroImage·2026

Same journal

Neural responses to equity and inequity when receiving vicarious rewards for self and charity during adolescence.

NeuroImage·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 21, 2025

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

Touching events predict human action segmentation in brain and behavior.

Jennifer Pomp¹, Nina Heins¹, Ima Trempler¹

¹Department of Psychology, University of Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany.

|September 1, 2021

Summary

This summary is machine-generated.

Understanding human action recognition is key. A new computational model reveals that touching and untouching events are critical for segmenting actions, supported by specific brain networks.

Keywords:

Action observation Computer vision Event segmentation Semantic event chain Unit marking procedure fMRI

More Related Videos

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Published on: April 15, 2015

Related Experiment Videos

Last Updated: Oct 21, 2025

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Published on: April 15, 2015

Area of Science:

Cognitive Neuroscience
Computer Vision
Neuroscience

Background:

Human action recognition relies on segmenting continuous actions into discrete, meaningful events.
Despite extensive research, the precise mechanisms and neural underpinnings of this event segmentation remain incompletely understood.

Purpose of the Study:

To investigate how humans segment object manipulation actions.
To identify the neural correlates of action segmentation using computational modeling and neuroimaging.

Main Methods:

Developed a computer vision model to identify touching and untouching events in actions.
Utilized functional Magnetic Resonance Imaging (fMRI) to observe brain activity during action observation.
Correlated computational model predictions with human behavioral segmentation data.

Main Results:

The computer vision model accurately predicted human behavioral segmentation of object manipulation actions.
Touching events elicited increased visual cortex activity, signaling action segmentation onset.
Untouching events engaged frontal, hippocampal, and insula regions, associated with expectation updating.

Conclusions:

Touching and untouching events are critical computational features for segmenting observed actions, particularly object manipulations.
Specific neural networks, including visual, frontal, hippocampal, and insula regions, support action segmentation based on these event motifs.