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相关概念视频

Open and closed-loop control systems01:17

Open and closed-loop control systems

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
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Two-Compartment Open Model: Overview01:05

Two-Compartment Open Model: Overview

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Multicompartmental models are crucial tools in pharmacokinetics, providing a framework to understand how drugs move within the body. The two-compartment model is a crucial subtype, segmenting the body into central and peripheral compartments. The central compartment represents areas with high blood flow, such as plasma and highly perfused organs like the kidneys and liver, while the peripheral compartment signifies tissues with lower blood flow, like adipose tissue and muscle tissue.
The...
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Neural Regulation01:37

Neural Regulation

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Three-Compartment Open Model01:06

Three-Compartment Open Model

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The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
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Neural Circuits01:25

Neural Circuits

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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...
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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Updated: Jul 18, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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品牌:一个闭环实验平台,使用深度网络模型进行闭环实验.

Yahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson

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    概括
    此摘要是机器生成的。

    实时异步神经解码 (BRAND) 框架的后端可以在神经科学实验中实时使用人工神经网络 (ANN). 品牌提供低延迟,并支持多种编程语言,用于先进的脑电脑接口.

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    科学领域:

    • 神经科学是一个神经科学.
    • 计算机科学 计算机科学
    • 机器学习 机器学习

    背景情况:

    • 人工神经网络 (ANN) 对神经解码具有强大作用,但在实时系统中面临部署挑战.
    • 现有的框架难以支持ANN的高级语言以及低延迟的数据处理.

    研究的目的:

    • 介绍实时异步神经解码 (BRAND) 的后端,这是神经科学中实时ANN的新框架.
    • 实现先进机器学习模型的无集成到闭环脑电脑界面 (BCI) 实验中.

    主要方法:

    • 品牌使用一个模块化架构的Linux流程 (节点) 通过数据流进行通信.
    • 异步设计允许在不同的时间尺度上并行执行数据采集,控制和分析.
    • 雷迪斯促进了快速的进程间通信,支持54种编程语言以实现广泛的兼容性.

    主要成果:

    • 对于大量的神经数据,BRAND证明了在600微秒以下的进程间延迟.
    • 在BCI中实现了递归神经网络 (RNN) 解码的不到8毫秒的延迟.
    • 在临床试验参与者中成功执行实时信号处理,RNN解码和任务控制.

    结论:

    • 品牌提供了一个快速,模块化和语言不可知论平台,用于将先进的ANN集成到闭环神经科学实验中.
    • 这一框架显著降低了研究人员在实时脑电脑接口中使用尖端机器学习工具的障碍.