相关实验视频

Updated: Jul 5, 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

SHIP:用于模拟和验证硬件尖端神经网络中的新技术的计算框架.

Emanuele Gemo1, Sabina Spiga1, Stefano Brivio1

  • 1CNR-IMM, Unit of Agrate Brianza, Agrate Brianza, Italy.

Frontiers in neuroscience
|January 24, 2024
PubMed
概括

模拟尖端神经网络 (SNN) 是一个挑战. SHIP,一个Spiking (神经网络) 硬件在PyTorch工具,桥梁模型驱动和数据驱动的方法,硬件开发和验证.

关键词:
紧型的模型是紧型的模型.数据流的数据流.神经形态工程的神经形态工程模拟平台的模拟平台.尖的神经网络的神经网络.监督培训 监督培训 监督培训时间进度的时间进度.

更多相关视频

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments05:19

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

7.0K
Author Spotlight: Modular Neuronal Networks for Analyzing Brain Functions07:38

Author Spotlight: Modular Neuronal Networks for Analyzing Brain Functions

Published on: June 7, 2024

1.5K

相关概念视频

Neural Circuits01:25

Neural Circuits

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...
1.2K