在更高层次的最小环恒星网络上,在扩散合下,奇阿尔沃神经元的神经元
Anjana S Nair1, Indranil Ghosh2, Hammed O Fatoyinbo3
1School of Digital Sciences, Digital University Kerala, Technopark Phase-IV campus, Mangalapuram 695317, Kerala, India.
Chaos (Woodbury, N.Y.)
|July 22, 2024
概括
这项研究探讨了复杂的神经网络动态,使用新的环星拓学. 研究人员确定了混乱的吸引力和同步模式,为神经系统功能和障碍提供了洞察力.
科学领域:
- 神经科学是一个神经科学.
- 复杂的系统复杂的系统.
- 动态系统理论 动态系统理论
背景情况:
- 高阶相互作用在网络动态中至关重要,特别是在神经动力学中.
- 现实的神经系统表现出非线性动力学和多体相互作用.
研究的目的:
- 为了数值地研究最小的高阶神经网络的动态,使用环恒星拓.
- 分析高阶合强度对网络行为的影响.
- 探索在理解和治疗神经障碍方面的潜在应用.
主要方法:
- 运用了基亚尔沃神经元图用于节点动态和线性扩散合的相互作用.
- 采用动态系统理论工具:固定点分析,雅可比矩阵,分叉分析.
- 使用0-1测试和样本的量化混乱和复杂性.
- 使用交叉相关系数和库拉莫托顺序参数评估同步.
主要成果:
- 观察到不同混沌吸引力的共存.
- 通过周期翻倍和半周期曲线确定了通往混乱的路线.
- 检测到的共维-1分叉:坐节点,周期翻倍和尼马克-萨克.
- 描述了网络内的同步现象.
结论:
- 研究的高阶网络模型表现出与神经动力学相关的丰富动态行为.
- 了解这些模式可能有助于识别神经系统的状态.
- 这项研究可以为解决神经疾病和障碍的策略做出贡献.
更多相关视频
10:24Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings
Published on: January 10, 2015
17.3K
07:04Long-range Channelrhodopsin-assisted Circuit Mapping of Inferior Colliculus Neurons with Blue and Red-shifted Channelrhodopsins
Published on: February 7, 2020
7.4K
相关概念视频
Neural Circuits
1.1K
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...
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...
1.1K
Second Order systems II
96
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
96
Second Order systems I
143
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
By reinterpreting the system, one can derive the closed-loop transfer function, which...
143
Network Function of a Circuit
278
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
278
Cholinergic Neurons: Neurotransmission
2.8K
Cholinergic neurotransmission involves the synthesis and the release of acetylcholine (ACh) in order to transmit nerve impulses across the synapse. The process begins with the synthesis of acetyl CoA, a precursor for ACh, from ATP, acetate, and coenzyme A in the mitochondria. Choline, another vital precursor, is transported inside the neuron through choline transporters, including high-affinity choline transporter CHT1, low-affinity choline transporter CTL1, and lower-affinity choline...
2.8K
Propagation of Action Potentials
5.5K
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...
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...
5.5K
