Related Experiment Video

Updated: May 24, 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

7.0K

Adaptive Event-Triggered Lag Outer Synchronization for Coupled Neural Networks With Multistate or Multiderivative

Jin-Liang Wang, Yan-Ran Zhu, Jian-Qiao Wang

    IEEE Transactions on Cybernetics
    |March 3, 2025
    PubMed
    Summary

    This study introduces multistate coupled neural networks (MSCCNN) and multiderivative coupled neural networks (MDCCNN). It establishes criteria for lag outer synchronization in these networks using adaptive event-triggered control, ensuring no Zeno behavior occurs.

    More Related Videos

    Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms08:28

    Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

    Published on: March 3, 2023

    933
    Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond08:08

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

    Published on: June 24, 2015

    11.4K

    Related Concept Videos

    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...
    5.0K
    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...
    974
    NMR Spectroscopy: Spin–Spin Coupling01:08

    NMR Spectroscopy: Spin–Spin Coupling

    The spin state of an NMR-active nucleus can have a slight effect on its immediate electronic environment. This effect propagates through the intervening bonds and affects the electronic environments of NMR-active nuclei up to three bonds away; occasionally, even farther. This phenomenon is called spin–spin coupling or J-coupling. Coupling interactions are mutual and result in small changes in the absorption frequencies of both nuclei involved. While nuclei of the same element are involved...
    1.2K
    Phase-lead and Phase-lag Controllers01:22

    Phase-lead and Phase-lag Controllers

    Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
    148
    State Space to Transfer Function01:21

    State Space to Transfer Function

    The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
    The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
    165
    Integration of Synaptic Events01:28

    Integration of Synaptic Events

    Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability...
    1.4K