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相关概念视频

Linear time-invariant Systems01:23

Linear time-invariant Systems

216
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
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...
216
Basic Continuous Time Signals01:22

Basic Continuous Time Signals

192
Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
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...
192
Long-term Potentiation01:35

Long-term Potentiation

54.8K
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.
54.8K
Classification of Systems-II01:31

Classification of Systems-II

134
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
134
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

348
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
348
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

207
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
207

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相关实验视频

Updated: Jun 7, 2025

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

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对于具有不连续激活的延迟复杂值神经网络的固定/预分配时间同步.

Leping Hu1, Lian Duan1

  • 1School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, 232001 Anhui People's Republic of China.

Cognitive neurodynamics
|November 18, 2024
PubMed
概括

这项研究实现了对具有延迟和不连续激活的复杂值神经网络的固定/预分配时间同步,独立于初始状态. 新型控制器在非线性系统中确保更快,更可靠的同步.

科学领域:

  • 复杂系统动力学 复杂系统动力学
  • 非线性控制理论 不线性控制理论
  • 计算神经科学是一种神经科学.

背景情况:

  • 非线性系统中的有限时间同步通常取决于初始状态,限制了实际应用.
  • 具有时间延迟的复杂值神经网络 (CVNNs) 对于模拟先进的计算系统至关重要.
  • 在CVNN中的不连续激活函数对同步分析构成重大挑战.

研究的目的:

  • 开发新的控制策略,以在延迟的CVNN中实现固定时间或预分配时间同步.
  • 消除同步定位时间对网络初始状态的依赖.
  • 将现有的同步结果扩展到具有不连续激活功能的CVNN.

主要方法:

  • 为不连续系统量身定制的新型状态反控制器的设计.
  • 应用菲利普洛夫规范化技术来处理非平滑动态.
  • 利用先进的不平等技术进行稳定性和同步分析.
  • 对结算时间的上限的明确估计.

主要成果:

  • 建立了实现延迟CVNN与不连续激活的固定/预分配时间同步的新标准.
  • 开发的方法克服了对初始状态的依赖,提供了实际的优势.
  • 理论结果被证明包含并增强了CVNN与连续激活的现有发现.
关键词:
具有复杂价值的神经网络.不连续的激活方式.固定时间同步.预先分配的时间同步.

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Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
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  • 同步结算时间的上限被明确确定.
  • 结论:

    • 拟议的控制方法有效地保证了延迟的CVNN与不连续激活的固定/预分配时间同步.
    • 这些发现为复杂的非线性系统中的同步提供了更强大和更实用的框架.
    • 数字模拟验证了理论结果,并证明了拟议方法的有效性.