相关实验视频

Updated: Aug 3, 2026

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

8.9K

osl-dynamics,一个用于建模快速动态大脑活动的工具箱

Chetan Gohil1, Rukuang Huang1, Evan Roberts1

  • 1Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United Kingdom.

eLife
|January 29, 2024
PubMed
概括

本研究介绍了osl-dynamics,这是一个Python工具,用于分析大脑活动中的快速神经动态. 它使用机器学习来建模快速的大脑过程,帮助认知和疾病研究.

关键词:
脑子 脑子 脑子 大脑爆发 爆发 爆发 爆发动力学 动力学 动力学人类 人类 人类 人类 人类 人类 人类机器学习是机器学习.网络 网络 网络 网络 网络 网络神经科学 神经科学振荡的振荡是如何发生的

更多相关视频

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.5K
Modeling the Functional Network for Spatial Navigation in the Human Brain05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

相关概念视频

State Space Representation01:27

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...