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

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

795
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
795
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

1.3K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
1.3K
Neural Circuits01:25

Neural Circuits

1.7K
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...
1.7K
Storage01:23

Storage

142
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
142
Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

3.7K
Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
3.7K
Machines01:19

Machines

353
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
353

You might also read

Related Articles

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

Sort by
Same author

The Role of Hydrogen in ReRAM.

Advanced materials (Deerfield Beach, Fla.)·2024
Same author

Hardware implementation of memristor-based artificial neural networks.

Nature communications·2024
Same author

Thin-film design of amorphous hafnium oxide nanocomposites enabling strong interfacial resistive switching uniformity.

Science advances·2023
Same author

Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2022
Same author

Committee machines-a universal method to deal with non-idealities in memristor-based neural networks.

Nature communications·2020
Same author

Silicon Oxide (SiO<sub>x</sub> ): A Promising Material for Resistance Switching?

Advanced materials (Deerfield Beach, Fla.)·2018

Related Experiment Video

Updated: Sep 27, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

673

Brain-inspired computing needs a master plan.

A Mehonic1, A J Kenyon2

  • 1Department of Electronic and Electrical Engineering, UCL, London, UK. adnan.mehonic.09@ucl.ac.uk.

Nature
|April 14, 2022
PubMed
Summary
This summary is machine-generated.

Brain-inspired computing offers energy-efficient data processing. Realizing its potential requires a coordinated plan to unite researchers and provide necessary support, similar to past digital and current quantum technology initiatives.

More Related Videos

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

8.6K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

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

Published on: March 2, 2015

10.5K

Related Experiment Videos

Last Updated: Sep 27, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

673
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

8.6K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

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

Published on: March 2, 2015

10.5K

Area of Science:

  • Neuromorphic computing and artificial intelligence.
  • Advanced information processing technologies.

Background:

  • Current data generation is rapidly increasing, characterized by unstructured and noisy datasets.
  • Existing computing paradigms face limitations in energy efficiency and handling complex data.
  • Brain-inspired computing presents a novel approach to address these challenges.

Purpose of the Study:

  • To highlight the potential of brain-inspired computing for energy-efficient information processing.
  • To advocate for a coordinated research and funding strategy for brain-inspired computing.
  • To draw parallels with successful initiatives in digital and quantum technologies.

Main Methods:

  • Conceptual analysis of emerging computing paradigms.
  • Review of historical technological development strategies.
  • Comparative assessment of digital, quantum, and brain-inspired computing.

Main Results:

  • Brain-inspired computing promises significant advancements in energy efficiency.
  • These technologies are well-suited for processing large volumes of unstructured and noisy data.
  • Past successes in digital and quantum computing demonstrate the feasibility of coordinated development.

Conclusions:

  • A concerted, collaborative effort is essential to unlock the full potential of brain-inspired computing.
  • Strategic planning and resource allocation are critical for advancing this field.
  • Brain-inspired computing represents the next frontier in computational technology.