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

Intelligence01:27

Intelligence

7.7K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
7.7K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

598
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
598
Machines01:19

Machines

280
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...
280
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

113
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
113
Synthetic Biology02:55

Synthetic Biology

4.8K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
4.8K
Aggregates Classification01:29

Aggregates Classification

332
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
332

You might also read

Related Articles

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

Sort by
Same author

Prevalence and multidimensional factors associated with work-related musculoskeletal disorders in Chinese gas station workers.

Scientific reports·2026
Same author

DNA framework-based nanomedicine platform: a triple-function strategy for treating periodontitis via antibacterial, anti-inflammatory, and osteogenesis-promoting activities.

International journal of oral science·2026
Same author

Melatonin attenuates mitochondrial apoptosis and improves mitochondrial quality by activating the AKT/BAD/BCL-XL signaling pathway, promoting oxidative muscle fiber formation.

International journal of biological macromolecules·2026
Same author

A highly energy-efficient multi-core neuromorphic architecture for training deep spiking neural networks.

Nature communications·2026
Same author

Self-assembled protein nanosheets with synergistic enzyme cascade and phototherapy for bacterial infection wound healing.

International journal of biological macromolecules·2026
Same author

Case Report: A case of Lynch syndrome-related glioblastoma with coexisting <i>MSH2</i> splicing defect and <i>MSH6</i> frameshift mutation.

Frontiers in oncology·2026
Same journal

Erratum for the Research Article "Assessing the health risks of rice cadmium content standards in China" by H. Chu <i>et al</i>.

Science advances·2026
Same journal

Erratum for the Research Article "Developmental regulation of Erk signaling by mitotic kinases" by F. Chen <i>et al</i>.

Science advances·2026
Same journal

Magnetically levitated metasurface enabling tangible and bidirectional human-machine interaction.

Science advances·2026
Same journal

A general photoinduced manganese-catalyzed platform for the sequential difunctionalization of [1.1.1]propellane.

Science advances·2026
Same journal

Turning sound and force into light with AlN:Mn<sup>2+</sup> mechanoluminescence.

Science advances·2026
Same journal

Extreme dominance of Earth-origin heavy ions in the intense ring current near the Earth during the May 2024 super geomagnetic storm.

Science advances·2026
See all related articles

Related Experiment Video

Updated: Jul 14, 2025

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

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

Published on: November 12, 2019

7.1K

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence.

Wei Fang1,2,3, Yanqi Chen1,2, Jianhao Ding1

  • 1School of Computer Science, Peking University, China.

Science Advances
|October 6, 2023
PubMed
Summary
This summary is machine-generated.

Spiking neural networks (SNNs) offer energy-efficient, brain-inspired AI. The SpikingJelly framework accelerates SNN training and deployment on neuromorphic hardware, enabling advanced machine intelligence.

More Related Videos

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

10.3K
A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

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

Published on: March 25, 2014

9.9K

Related Experiment Videos

Last Updated: Jul 14, 2025

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

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

Published on: November 12, 2019

7.1K
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

10.3K
A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

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

Published on: March 25, 2014

9.9K

Area of Science:

  • Neuromorphic Computing
  • Artificial Intelligence
  • Deep Learning

Background:

  • Spiking neural networks (SNNs) emulate brain functionality for energy-efficient computation on neuromorphic hardware.
  • Existing deep learning frameworks struggle with the unique demands of SNNs, including automatic differentiation and parallel processing.

Purpose of the Study:

  • To introduce the SpikingJelly framework, a comprehensive toolkit for developing and deploying Spiking neural networks.
  • To address limitations in current frameworks for SNN training, optimization, and hardware deployment.

Main Methods:

  • Developed a full-stack toolkit for neuromorphic dataset preprocessing, SNN construction, parameter optimization, and chip deployment.
  • Implemented features for automatic differentiation, parallel computation acceleration, and high integration of SNN workflows.

Main Results:

  • Achieved an 11x acceleration in deep SNN training compared to existing methods.
  • Demonstrated superior extensibility and flexibility for accelerating custom SNN models with reduced costs.

Conclusions:

  • SpikingJelly provides a robust solution for synthesizing energy-efficient SNN-based machine intelligence systems.
  • The framework significantly advances the field of neuromorphic computing by facilitating SNN development and deployment.