控制威尔逊 - 考恩网络中的抑制稳定振荡与恒温可塑性的控制
Camille Godin1, Matthew R Krause2, Pedro G Vieira2
1School of Psychology, University of Ottawa, 156 Jean-Jacques Lussier, Ottawa, ON K1N 6N5, Canada.
Entropy (Basel, Switzerland)
|February 26, 2025
概括
恒常性可塑性使神经网络能够在抑制稳定 (ISN) 和非ISN状态之间动态切换,调节大脑振荡并捕捉各种实验效应.
科学领域:
- 计算神经科学是一种神经科学.
- 系统神经科学 系统神经科学
- 理论神经科学 理论神经科学
背景情况:
- 皮质活动源于刺激神经元和抑制神经元之间的相互作用.
- 抑制稳定网络 (ISN) 是一种以平衡激发和抑制为特征的关键模式.
- 现有的模型经常使用硬线连接,限制了对动态状态转换的理解.
研究的目的:
- 研究神经网络如何自我组织成ISN状态.
- 探索ISN和非ISN国家之间的动态切换.
- 将网络动态与大脑振荡和突触可塑性联系起来.
主要方法:
- 通过结合的威尔逊-考恩方程开发了一个平均率模型.
- 连接ISN和非ISN状态到科尔摩戈罗夫-西奈.
- 作为一个调节机制,内置的恒温可塑性 (HP).
主要成果:
- 证明HP允许基于调力活动在ISN和非ISN状态之间进行动态切换.
- 该模型重现了抑制活性和相位偏移的矛盾下降.
- 观察到缓和的马振荡,并解释了异步火现象.
结论:
- 振荡活动是由网络的动态状态调节的,由恒温可塑性控制.
- 这种框架弥合了神经动力学,,振荡和突触可塑性.
- 在皮层网络中提供自我组织和动态状态转换的机制.
相关概念视频
Pole and System Stability
236
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
236
Control System Problem
95
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
95
Control Systems
1.0K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
At the heart...
1.0K
Time-Domain Interpretation of PD Control
78
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
78
BIBO stability of continuous and discrete -time systems
324
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....
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....
324
Root Loci for Positive-Feedback Systems
88
The Hartley oscillator is a positive feedback system that sustains oscillations by feeding the output back to the input in phase, thereby reinforcing the signal. Positive feedback systems can be viewed as negative feedback systems with inverted feedback signals. In these systems, the root locus encompasses all points on the s-plane where the angle of the system transfer function equals 360 degrees.
The construction rules for the root locus in positive feedback systems are similar to those in...
The construction rules for the root locus in positive feedback systems are similar to those in...
88


