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...
Cells of the Adaptive Immune Response01:23

Cells of the Adaptive Immune Response

The T and B lymphocytes of the adaptive immune system develop from common lymphoid progenitor cells in the bone marrow. These progenitors give rise to precursors that eventually develop into both T and B lymphocytes. As these precursors mature, they gain the ability to detect and respond to foreign antigens in the body, a process known as immunocompetence. Additionally, these precursors acquire self-tolerance, a process that ensures they do not react to self-antigens. This intricate system...
Viral Recombination00:57

Viral Recombination

Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
Cell Motility through Blebbing01:16

Cell Motility through Blebbing

Blebs are a type of membrane protrusion formed by the internal hydrostatic pressure of the cytoplasm. Blebs are observed in several cell types, including fibroblasts, immune cells, and single-celled organisms like the amoeba. The primary function of blebs is cell locomotion and apoptosis, but they are also found during necrosis and cell division. The life cycle of a bleb comprises an initiation phase followed by the expansion and retraction phases.
Blebbing Through the Matrix
In multicellular...
Assembly of Complex Microtubule Structures01:32

Assembly of Complex Microtubule Structures

Complex microtubule structures are present in resting cells and in dividing cells. In resting cells, they are responsible for maintaining the cellular architecture, tracks for intracellular transport, positioning of organelles, assembly of cilia and flagella. They mediate the bipolar spindle assembly for chromosomal segregation and positioning of the cell division plate in dividing cells. The formation of microtubule complex structures depends on the cell type, cell stage, and cell function.
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

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.

You might also read

Related Articles

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

Sort by
Same author

Severe Cardiomyopathy Following Takotsubo Syndrome in a Patient Suffering from Eosinophilic Granulomatosis With Polyangiitis: A Case Report.

Internal medicine (Tokyo, Japan)·2026
Same author

Formaldehyde Allergy Presenting with Anaphylaxis Due to Prolonged Immediate-Type Reaction.

Journal of asthma and allergy·2026
Same author

Granulomatous Lung Inflammation of Unknown Causes Following COVID-19.

Cureus·2026
Same author

Predicting clinical remission in biologic-treated severe asthma: development of a practical scoring system from a Japanese multicentre study.

BMJ open respiratory research·2026
Same author

High total serum IgE level at diagnosis was associated with a progressive decline in lung function in asthmatic patients with allergic bronchopulmonary mycosis.

Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology·2026
Same author

Improved long-term prognosis of eosinophilic granulomatosis with polyangiitis: retrospective analysis of 87 patients after biologic therapy introduction in Japan.

Scientific reports·2026

Related Experiment Video

Updated: Jun 28, 2026

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures
16:01

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures

Published on: August 1, 2011

Recurrent infomax generates cell assemblies, neuronal avalanches, and simple cell-like selectivity.

Takuma Tanaka1, Takeshi Kaneko, Toshio Aoyagi

  • 1Department of Morphological Brain Science, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan. ttakuma@mbs.med.kyoto-u.ac.jp

Neural Computation
|October 22, 2008
PubMed
Summary

Recurrent infomax (RI) learning algorithm applied to neural networks generates Gabor-like selectivity and spontaneous activity. This information-theoretic approach explains diverse neuronal network phenomena.

More Related Videos

Preparation of Neuronal Co-cultures with Single Cell Precision
09:06

Preparation of Neuronal Co-cultures with Single Cell Precision

Published on: May 20, 2014

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

Related Experiment Videos

Last Updated: Jun 28, 2026

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures
16:01

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures

Published on: August 1, 2011

Preparation of Neuronal Co-cultures with Single Cell Precision
09:06

Preparation of Neuronal Co-cultures with Single Cell Precision

Published on: May 20, 2014

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

Area of Science:

  • Computational Neuroscience
  • Information Theory
  • Systems Neuroscience

Background:

  • Multineuronal recordings reveal complex dynamics in central nervous system recurrent networks, including patterned firing, synchronization, and state transitions.
  • Understanding neuronal plasticity and information processing in these networks is crucial for neuroscience research.

Purpose of the Study:

  • To introduce a novel learning algorithm, recurrent infomax (RI), for recurrent neural networks.
  • To investigate how RI models neuronal network behavior and information processing.
  • To explore the emergence of specific neuronal selectivities and activities through information maximization.

Main Methods:

  • Developed a recurrent infomax (RI) learning algorithm that maximizes information retention in recurrent networks.
  • Applied RI to a recurrent network model, incorporating external inputs from natural scene photographs.
  • Analyzed spontaneous activity patterns, neuronal selectivity, and temporal pattern embedding within the RI network.

Main Results:

  • RI-based networks exposed to natural scene inputs developed Gabor-like selectivity, mimicking primary visual cortex simple cells.
  • Networks without external input exhibited spontaneous cell assembly and synfire chain-like activity, alongside critical neuronal avalanches.
  • The RI algorithm successfully embedded and enabled spontaneous reproduction of externally input temporal firing patterns.

Conclusions:

  • Recurrent infomax (RI) offers a unifying information-theoretic framework for understanding diverse phenomena in biological neuronal networks.
  • RI explains the emergence of Gabor-like selectivity and spontaneous network activities.
  • This approach provides novel insights into multineuronal activity and plasticity from an information-theoretic perspective.