In this paper, we present a spiking neural network architecture with spike-based learning that enables robust learning and recognition of visual patterns in ...

Abstract—Mixed-signal analog/digital neuromorphic circuits are characterized by ultra-low power consumption, real-time processing abilities, and low-latency ...

The neuromorphic electronic system consists of DVS sensors and. DYNAP chips. A computer is used to configure the sensors and chips, monitor their activities, or ...

We validate the proposed system in a closed-loop hardware setup composed of neuromorphic vision sensors and processors, and we present experimental results that ...

The online learning algorithm monitors the generated events and simulates the firing of the motor neurons which activate the saccades. Silicon retina. Feature ...

Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents ... neural networks; robust object recognition; unsupervised learning.

Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents. Mendeley · CSV · RIS · BibTeX ; dc.contributor.author. Liang, Dongchen ; dc.

该体系结构用于在计算机和神经形态硬件在循环中进行训练阶段后执行模式识别和推理。我们在由神经形态视觉传感器和处理器组成的闭环硬件设置中验证了所提出的系统，并给出了 ...

We describe the features of the NSMs used in this context and demonstrate the agent's real-time robust perception and action behavior with experimental results.

We describe the features of the NSMs used in this context and demonstrate the agent's real-time robust perception and action behavior with experimental results.