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

Neural Circuits01:25

Neural Circuits

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...
Propagation of Action Potentials01:23

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...

You might also read

Related Articles

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

Sort by
Same author

Sex differences in activations to the sight of faces, scenes, body parts and tools in visual and non-visual cortical regions leading to the human hippocampus.

Biology of sex differences·2026
Same author

Visual Cortical Lateralization in Activations and Functional Connectivity to the Sight of Faces, Scenes, Body Parts, and Tools.

Human brain mapping·2026
Same author

Invariant visual object and face learning in the ventral cortical visual pathway: A biologically plausible model.

PLoS computational biology·2026
Same author

Hippocampal Revolutions.

Neuroscience and biobehavioral reviews·2025
Same author

Reward-specific satiety and reward-specific motivation: neural bases and significance.

Cerebral cortex (New York, N.Y. : 1991)·2025
Same author

Genetic risk-dependent brain markers of resilience to childhood Trauma.

Nature communications·2025
Same journal

IGFBP3 and UBE2C are associated with protein modification pathways and serve as prognostic markers in glioma.

Brain research·2026
Same journal

Targeting neurodevelopmental miR132-3p promotes neuroprotection and axon regeneration after optic nerve injury in mice.

Brain research·2026
Same journal

Variability in acoustic startle response and prepulse inhibition across adulthood in Fragile X messenger ribonucleoprotein 1 knockout mice.

Brain research·2026
Same journal

Transcriptome-guided modeling reveals insulin-related metabolic dysfunction in SCA3 mouse cerebellum.

Brain research·2026
Same journal

Intranasal stromal cell-derived factor-1α mitigates parkinsonian deficits via dual modulation of neuroinflammation and gut microbiota in MPTP-induced models.

Brain research·2026
Same journal

Emotions, the amygdala, and the right hemisphere.

Brain research·2026
See all related articles

Related Experiment Video

Updated: May 29, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Cortical attractor network dynamics with diluted connectivity.

Edmund T Rolls1, Tristan J Webb

  • 1Oxford Centre for Computational Neuroscience, Oxford, UK. Edmund.Rolls@oxcns.org

Brain Research
|August 31, 2011
PubMed
Summary
This summary is machine-generated.

Diluted connectivity in the cerebral cortex enhances network stability and decision accuracy by reducing spiking noise. This suggests increasing neuron numbers with diluted connections can improve cognitive functions like memory recall.

More Related Videos

Two-Photon Polymerization 3D-Printing of Micro-scale Neuronal Cell Culture Devices
07:38

Two-Photon Polymerization 3D-Printing of Micro-scale Neuronal Cell Culture Devices

Published on: June 7, 2024

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
09:47

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

Related Experiment Videos

Last Updated: May 29, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Two-Photon Polymerization 3D-Printing of Micro-scale Neuronal Cell Culture Devices
07:38

Two-Photon Polymerization 3D-Printing of Micro-scale Neuronal Cell Culture Devices

Published on: June 7, 2024

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
09:47

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Neural Coding

Background:

  • Cerebral cortex exhibits diluted connectivity, with low probabilities of excitatory connections between pyramidal cells.
  • Understanding the impact of this diluted connectivity on attractor network dynamics is crucial for explaining cortical function.

Purpose of the Study:

  • To investigate how diluted connectivity affects attractor network dynamics, specifically decision-making processes.
  • To determine if diluted connectivity influences network stability, accuracy, and processing speed.

Main Methods:

  • Simulated an integrate-and-fire attractor network model with varying degrees of diluted connectivity (0.25 and 0.1).
  • Maintained consistent synaptic connections per neuron for recurrent collateral synapses within attractor populations.
  • Analyzed network stability, decision accuracy, decision times, and Fano factor for neuronal firing variability.

Main Results:

  • Diluted connectivity led to reduced spiking-related noise and increased network stability in the spontaneous firing state.
  • Accuracy of correct decisions improved with diluted connectivity.
  • Decision times were slightly slower compared to full connectivity.
  • Fano factor decreased when the attractor network made a decision compared to the spontaneous state.

Conclusions:

  • Diluted connectivity can enhance the stability and accuracy of cortical networks for decision-making and memory recall.
  • Increasing the number of neurons alongside diluted connectivity offers a strategy to improve cognitive function without significantly impacting processing speed.
  • Diluted connectivity effectively decreases cortical spiking-related noise, contributing to more reliable neural processing.