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

Cells Coordinate Growth and Proliferation

Cells Coordinate Growth and Proliferation

Cell size is a significant factor impacting cellular design, function, and fitness. There exists some internal coordination by which cells double their masses before division, thus, achieving homeostasis. Coordination between cell growth and proliferation depends on the checkpoints in between cell cycle phases. Loss of coordination or failure in the checkpoint mechanism can drive the cell to uncontrolled growth and loss of cellular function. Like dividing cells that coordinate cellular growth,...

You might also read

Related Articles

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

Sort by

Same author

Dynamic patterns and phase transitions in confined active particle systems.

Physical review. E·2025

Same author

1/f noise in the Ising model.

Physical review. E·2025

Same author

Bilateral Field Advantage of Spatial Attention in Macaque Lateral Prefrontal Cortex.

Journal of cognitive neuroscience·2025

Same author

Scaling behavior in the number theoretic division model of self-organized criticality.

Physical review. E·2025

Same author

Explosive synchronization in coupled stars.

Physical review. E·2025

Same author

Fitness noise in the Bak-Sneppen evolution model in high dimensions.

Physical review. E·2024

Search research articles

Related Experiment Video

Updated: May 14, 2026

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

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

Published on: June 7, 2024

Scaling behavior in probabilistic neuronal cellular automata.

Kaustubh Manchanda¹, Avinash Chand Yadav, Ramakrishna Ramaswamy

¹School of Physical Sciences, Jawaharlal Nehru University, New Delhi 110067, India.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|February 16, 2013

Summary

This summary is machine-generated.

Researchers studied a critical neural network model exhibiting neuronal avalanches. At the critical point, activity avalanche scaling exponents align with mean-field theory predictions.

More Related Videos

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

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

Published on: April 15, 2015

3D Modeling of Dendritic Spines with Synaptic Plasticity

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Related Experiment Videos

Last Updated: May 14, 2026

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

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

Published on: June 7, 2024

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

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

Published on: April 15, 2015

3D Modeling of Dendritic Spines with Synaptic Plasticity

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Area of Science:

Computational neuroscience
Statistical physics
Complex systems

Background:

Neural networks exhibit complex dynamics.
Stochastic discrete two-state cellular automata model neuronal interactions.
Systems tuned to criticality display emergent phenomena.

Purpose of the Study:

Investigate a neural network model of interacting stochastic discrete two-state cellular automata.
Analyze neuronal activity avalanches at a critical point.
Compare numerical findings with theoretical predictions.

Main Methods:

Developed a neural network model of interacting stochastic discrete two-state cellular automata on a regular lattice.
Externally tuned the system to a critical point varying with stochasticity (effective temperature).
Performed a detailed numerical study of spatio-temporal activity avalanches, computing probability distributions.

Main Results:

Observed avalanches of neuronal activity, defined as contiguous sites of activity.
Computed single, joint, and marginal probability distributions for these avalanches.
Found that scaling exponents at the critical point agree well with mean-field theory.

Conclusions:

The studied neural network model exhibits critical behavior characterized by neuronal avalanches.
Mean-field theory provides a good approximation for the scaling exponents at criticality.
This work contributes to understanding critical phenomena in neural systems.