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

The Role of Ion Channels in Neuronal Computation01:19

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.
Long-term Potentiation01:25

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when presynaptic neurons...
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...
Propagation of Action Potentials01:23

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
Neural Circuits01:25

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...

You might also read

Related Articles

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

Sort by
Same author

Caveolin-1-Mediated Cholesterol Accumulation Contributes to Exaggerated mGluR-Dependent Long-Term Depression and Impaired Cognition in Fmr1 Knockout Mice.

Molecular neurobiology·2023
Same author

Increasingly amplified stimulation mediated by TaNAC69-B is crucial for the leaf senescence in wheat.

The Plant journal : for cell and molecular biology·2023
Same author

Fecal metabolomics analysis for deciphering the lipid-lowering effect of Qizhi capsule on high-fat feed induced hyperlipidemia.

Journal of ethnopharmacology·2023
Same author

Cancer-associated fibroblast related gene signature in Helicobacter pylori-based subtypes of gastric carcinoma for prognosis and tumor microenvironment estimation <i>in silico</i> analysis.

Frontiers in medicine·2023
Same author

HMGB1/TLR4 signaling pathway enhances abdominal aortic aneurysm progression in mice by upregulating necroptosis.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]·2023
Same author

Passivity and passification of fractional-order memristive neural networks with time delays.

ISA transactions·2023
Same journal

Anchor-based disentanglement framework for incremental multi-view clustering.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Complex-valued amplitude-phase interference modeling for adversarially robust classification.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

TraNce: Type-aware hypergraph neural network with biological mediators for drug repositioning.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Decentralized ADMM for factorization-based Low-rank matrix estimation.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Memristive neuromorphic circuit design inspired by the neural mechanisms of conditioned fear.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Q-learning based asynchronous Boolean control networks stabilization with data loss.

Neural networks : the official journal of the International Neural Network Society·2026
See all related articles

Related Experiment Video

Updated: Jun 2, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

Decoupled echo state networks with lateral inhibition.

Yanbo Xue1, Le Yang, Simon Haykin

  • 1Electrical and Computer Engineering Department, McMaster University, Hamilton, Ontario, L8S 4K1, Canada. yxue@soma.mcmaster.ca

Neural Networks : the Official Journal of the International Neural Network Society
|May 23, 2007
PubMed
Summary
This summary is machine-generated.

We introduce the decoupled echo state network (DESN), a novel structure enhancing prediction accuracy. DESN variants outperform traditional methods in complex signal processing and real-world noisy data tasks.

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

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
11:29

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents

Published on: September 4, 2015

Related Experiment Videos

Last Updated: Jun 2, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

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

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
11:29

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents

Published on: September 4, 2015

Area of Science:

  • Computational Neuroscience
  • Machine Learning
  • Signal Processing

Background:

  • Echo State Networks (ESNs) are recurrent neural networks with a fixed, random recurrent layer (reservoir).
  • Prior work has explored various ESN architectures to improve performance on complex tasks.
  • Lateral inhibition is a biological neural mechanism that enhances signal contrast and selectivity.

Purpose of the Study:

  • To introduce a novel neural network structure, the Decoupled Echo State Network (DESN), incorporating lateral inhibition.
  • To develop and evaluate two low-complexity DESN implementation schemes: DESN with reservoir prediction (DESN + RP) and DESN with maximum available information (DESN + MaxInfo).
  • To compare the performance of DESN variants against each other and conventional ESNs on diverse prediction tasks.

Main Methods:

  • The proposed DESN architecture utilizes lateral inhibition within its structure.
  • Two specific implementations, DESN + RP and DESN + MaxInfo, were developed and tested.
  • Performance was evaluated on the multiple superimposed oscillator (MSO) problem, a noiseless nonlinear prediction task, and a real-world noisy sea clutter dataset.

Main Results:

  • DESN + MaxInfo demonstrated superior generalization mean-square error (MSE) and robustness in the MSO problem compared to DESN + RP.
  • DESN + RP outperformed DESN + MaxInfo and single-reservoir ESNs on a noiseless nonlinear prediction task, showing better robustness to input and sparsity variations.
  • Both DESN schemes achieved higher prediction accuracy and success rates on noisy sea clutter data than conventional ESNs.

Conclusions:

  • The novel DESN structure, incorporating lateral inhibition, offers significant advantages over traditional ESNs.
  • The choice between DESN + RP and DESN + MaxInfo depends on the specific task requirements and data characteristics.
  • DESN variants show promise for improving prediction accuracy and robustness in both simulated and real-world noisy environments.