相关实验视频

Updated: Jun 19, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

使用物理信息的神经网络从机械变形中重建激发波

Nathan Dermul1,2, Hans Dierckx3,4

  • 1Department of Mathematics, KU Leuven, 8500, Kortrijk, Belgium. nathan.dermul@kuleuven.be.

Scientific reports
|July 23, 2024
PubMed
概括

基于物理学的神经网络从机械数据准确地重建心脏电活动,为心律失常提供更安全,非侵入性的诊断工具.

更多相关视频

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures08:32

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures

Published on: May 7, 2017

13.3K
Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling10:45

Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling

Published on: May 31, 2017

13.1K

相关概念视频

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
187