Related Experiment Video
Updated: Mar 8, 2026

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
Published on: November 12, 2019
Finite-time synchronization for recurrent neural networks with discontinuous activations and time-varying delays
Lian Duan1, Lihong Huang2, Xianwen Fang1
1Mathematics and Big Data, Anhui University of Science and Technology, Huainan, Anhui 232001, People's Republic of China.
Abstract:
In this paper, we study the finite-time synchronization problem for recurrent neural networks with discontinuous activations and time-varying delays. Based on the finite-time convergence theory and by using the nonsmooth analysis technique, some finite-time synchronization criteria for the considered neural network model are established, which are new and complement some existing ones. The feasibility and effectiveness of the proposed synchronization method are supported by two examples with numerical simulations.
Related Concept Videos
Long-term Potentiation
Long-term Potentiation
Hebbian LTP
LTP can occur when...
Classification of Systems-II
Linear time-invariant Systems
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
Basic Continuous Time Signals
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
Sampling Continuous Time Signal
In the...
