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

Neural Regulation

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.

Neural Circuits

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...

The Role of Ion Channels in Neuronal Computation

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

A spiking neural model of adaptive arm control.

Proceedings. Biological sciences·2016

Same journal

DNA origami snaps into place.

Science robotics·2026

Same journal

A high-endurance DNA origami snap-through switch for functional nanoscale control.

Science robotics·2026

Same journal

Learning flight navigation like a honey bee.

Science robotics·2026

Same journal

Is your robot vacuum cleaner spying on you?

Science robotics·2026

Same journal

Do people feel safe in a robot's presence?

Science robotics·2026

Same journal

Stop chasing identical outcomes in HRI replication: Learn from the differences.

Science robotics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 20, 2025

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

Spiking neural networks take control.

Travis DeWolf¹

¹Applied Brain Research Inc., Toronto, Ontario, Canada.

Science Robotics

|September 13, 2021

Summary

This summary is machine-generated.

A novel brain-inspired neural network architecture solves a long-standing problem in classical control theory for telerobotics. This breakthrough enhances control capabilities in remote robotic systems.

More Related Videos

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Related Experiment Videos

Last Updated: Oct 20, 2025

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Area of Science:

Robotics
Control Theory
Artificial Intelligence

Background:

Classical control theory faces challenges in complex, dynamic systems like telerobotics.
Existing methods struggle with real-time adaptation and robustness.

Purpose of the Study:

To develop a novel neural network architecture inspired by brain function.
To address an unsolved problem in classical control theory for telerobotic applications.

Main Methods:

Implemented a brain-inspired neural network architecture.
Tested the architecture on simulated and real-world telerobotic tasks.
Compared performance against traditional control methods.

Main Results:

The proposed architecture successfully solved the classical control problem.
Demonstrated superior adaptability and robustness in telerobotic operations.
Achieved precise and stable control in dynamic environments.

Conclusions:

Brain-inspired neural networks offer a powerful solution for complex control problems.
This approach advances the field of telerobotics by enabling more sophisticated remote operation.
Opens new avenues for intelligent control systems in robotics.