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

You might also read

Related Articles

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

Sort by
Same author

Entropy Production from Spin-Vibrational Coupling in Endohedral-Fullerene Qubits Encapsulated in Suspended Carbon Nanotubes.

Entropy (Basel, Switzerland)·2026
Same author

Quantum Transport and Molecular Sensing in Reduced Graphene Oxide Measured with Scanning Probe Microscopy.

Molecules (Basel, Switzerland)·2025
Same author

Feedback-Driven Dynamical Model for Axonal Extension on Parallel Micropatterns.

Biomimetics (Basel, Switzerland)·2025
Same author

Nonlinear Growth Dynamics of Neuronal Cells Cultured on Directional Surfaces.

Biomimetics (Basel, Switzerland)·2024
Same author

Axonal growth on surfaces with periodic geometrical patterns.

PloS one·2021
Same author

Variations of Elastic Modulus and Cell Volume with Temperature for Cortical Neurons.

Langmuir : the ACS journal of surfaces and colloids·2019

Related Experiment Video

Updated: Jul 25, 2025

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

10.1K

Biased Random Walk Model of Neuronal Dynamics on Substrates with Periodic Geometrical Patterns.

Cristian Staii1

  • 1Department of Physics and Astronomy, Tufts University, Medford, MA 02155, USA.

Biomimetics (Basel, Switzerland)
|June 27, 2023
PubMed
Summary

Neuronal growth follows a biased random walk model, guided by surface geometry. This contact-guidance mechanism reveals insights into forming functional neuronal networks and aids nerve regeneration strategies.

Keywords:
axonal growthbio-inspired neural networksneuronneuron networksstochastic processestissue engineering

More Related Videos

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.9K
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

8.5K

Related Experiment Videos

Last Updated: Jul 25, 2025

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

10.1K
3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.9K
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

8.5K

Area of Science:

  • Neuroscience
  • Biophysics
  • Materials Science

Background:

  • Neuronal networks are crucial for brain function, but their formation mechanisms remain incompletely understood.
  • Axon guidance during development involves complex intrinsic and extrinsic factors.
  • Understanding collective neuron behavior is key to advancing neuroscience.

Purpose of the Study:

  • To investigate neuronal growth dynamics on micropatterned surfaces.
  • To analyze the role of geometrical cues in axon extension.
  • To develop and validate a theoretical model for neuronal network formation.

Main Methods:

  • Combined experimental and theoretical analysis of neuronal growth.
  • Utilizing surfaces with micropatterned periodic geometrical features.
  • Applying a biased random walk model to describe axon extension.

Main Results:

  • Axon extension on micropatterned surfaces is modeled as a biased random walk.
  • Surface geometry introduces a drift term, guiding axon growth direction.
  • Model parameters (diffusion coefficient, growth velocity) align with experimental measurements.

Conclusions:

  • Neuronal growth is governed by contact guidance, responding to geometrical cues.
  • Findings impact the development of novel neural network models and biomimetic substrates.
  • This research offers potential for stimulating nerve regeneration and repair.