On synapse intelligence emulated in a self-formed artificial synaptic network,Materials Horizons

当前位置： X-MOL 学术 › Mater. Horiz. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

On synapse intelligence emulated in a self-formed artificial synaptic network
Materials Horizons ( IF 12.2 ) Pub Date : 2020-08-14 , DOI: 10.1039/d0mh01037e
Bharath Bannur _{1,

2,

3,

4} , Giridhar U. Kulkarni _{1,

2,

3,

4}

Affiliation

A synaptic device forms an essential component of hardware-based neuromorphic artificial intelligence. These brain-inspired intelligent devices are more efficient in terms of speed, energy and space. Most present-day synaptic devices attempt to emulate only basic synaptic functions and involve intricate fabrication processes. Often, they are accompanied by CMOS circuits to accomplish complex learning. Here we report emulation of several of the human-like behavior patterns in a synaptic device fabricated via self-forming. Such a process is endowed with several advantages such as simplicity, scalability and cost-effectiveness. Moreover, the fabricated device comprises a hierarchical structure resembling the biological neural network with synapses and neurotransmitters. This biomimicking device can emulate various behaviors from basic synaptic actions such as STP, LTP, potentiation and depression to complex learning activities such as associative learning, interest-based learning, supervision and impression of supervision. Besides, an important phenomenon in biological systems, synaptic fatigue and recovery, is also demonstrated. An interactive Pavlov's dog prototype has been fabricated, demonstrating the potential utility of the device in brain-inspired neuromorphic applications.

中文翻译：

关于在自形成的人工突触网络中模拟的突触智能

突触设备形成了基于硬件的神经形态人工智能的重要组成部分。这些受大脑启发的智能设备在速度，能量和空间方面都更加高效。当今大多数突触设备试图仅模仿基本的突触功能并涉及复杂的制造过程。通常，它们伴随着CMOS电路来完成复杂的学习。在这里，我们报告了通过制造的突触设备中的几种类人行为模式的仿真自我形成。这种过程具有几个优点，例如简单性，可伸缩性和成本效益。此外，所制造的装置包括类似于具有突触和神经递质的生物神经网络的分层结构。这种仿生设备可以模仿从基本的突触动作（例如STP，LTP，增强和抑制）到复杂的学习活动（例如联想学习，基于兴趣的学习，监督和监督印象）的各种行为。此外，还证明了生物系统中的重要现象，突触疲劳和恢复。交互式帕夫洛夫犬的原型已经制造出来，展示了该装置在脑启发神经形态应用中的潜在用途。

更新日期：2020-09-02

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11