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

The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

4.2K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
4.2K
Neural Circuits01:25

Neural Circuits

3.2K
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...
3.2K
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

8.9K
The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
8.9K
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

3.9K
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...
3.9K
Neuronal Communication01:28

Neuronal Communication

4.5K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
4.5K
Nervous Tissue: Neuron Types01:19

Nervous Tissue: Neuron Types

7.5K
Neurons, the fundamental units of the nervous system, can be classified based on both their structural and functional characteristics.
Structurally, neurons are categorized into three main types: multipolar, bipolar, and unipolar (or pseudounipolar). Multipolar neurons, which are the most common type in the brain and spinal cord, as well as all motor neurons, possess multiple dendrites and a single axon.
Bipolar neurons, on the other hand, have one primary dendrite and one axon. They are...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Impact of cumulative glucocorticoid exposure on vancomycin clearance in hospitalized children: A retrospective cohort study.

British journal of clinical pharmacology·2026
Same author

Pregnancy-associated exposure reduction to medications used for antiphospholipid syndrome: a systematic review.

EULAR rheumatology open·2026
Same author

Role of Angiotensin II as a Vasoactive Agent to Treat Distributive Shock With a Focus on Preliminary Data in Pediatric-Aged Patients.

Paediatric anaesthesia·2026
Same author

A unified physiologically based pharmacokinetic model for low-to-high oral, subcutaneous, and intravenous dose of methotrexate in humans.

Journal of pharmaceutical sciences·2026
Same author

Quality of online heatstroke information across four countries: a quantitative content analysis.

Health education research·2026
Same author

Electrical stimulation precisely reproduces naturalistic spiking activity in complete and intermixed neural populations in the primate retina.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Mar 21, 2026

Biocytin Recovery and 3D Reconstructions of Filled Hippocampal CA2 Interneurons
11:21

Biocytin Recovery and 3D Reconstructions of Filled Hippocampal CA2 Interneurons

Published on: November 20, 2018

9.1K

High-Degree Neurons Feed Cortical Computations.

Nicholas M Timme1, Shinya Ito2, Maxym Myroshnychenko3

  • 1Department of Physics, Indiana University, Bloomington, Indiana, United States of America.

Plos Computational Biology
|May 10, 2016
PubMed
Summary
This summary is machine-generated.

Neurons modify information based on their network position. High information processing neurons receive input from highly connected neurons, not those with many connections. This reveals how neural networks manage information flow.

More Related Videos

Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings
10:24

Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings

Published on: January 10, 2015

18.0K
Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex
09:55

Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex

Published on: September 5, 2018

9.0K

Related Experiment Videos

Last Updated: Mar 21, 2026

Biocytin Recovery and 3D Reconstructions of Filled Hippocampal CA2 Interneurons
11:21

Biocytin Recovery and 3D Reconstructions of Filled Hippocampal CA2 Interneurons

Published on: November 20, 2018

9.1K
Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings
10:24

Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings

Published on: January 10, 2015

18.0K
Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex
09:55

Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex

Published on: September 5, 2018

9.0K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Network Science

Background:

  • Functional connectivity in cortical neurons is uneven.
  • Neurons vary in how they process incoming information.
  • Quantifying neuronal computation based on connectivity is now possible.

Purpose of the Study:

  • Investigate how neuronal computation depends on connection numbers (in-degree and out-degree).
  • Explore the relationship between information processing and network topology.

Main Methods:

  • Recorded simultaneous spiking activity of hundreds of neurons in cortico-hippocampal slice cultures using a 512-electrode array.
  • Quantified neuronal computation using transfer entropy and partial information decomposition.
  • Developed a feedforward network model to interpret findings.

Main Results:

  • Neuronal computation is not uniformly distributed across networks.
  • Neurons computing more information received connections from high out-degree neurons.
  • Neuron in-degree did not correlate with the amount of information computed.

Conclusions:

  • A neuron's information processing is linked to its network position.
  • A degree-modified Hebbian wiring rule explained observed computation and connectivity patterns.
  • This mechanism may help the cortex handle common background input.