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Emerging Devices for Biologically Accurate Neuron
ACS Applied Electronic Materials ( IF 4.7 ) Pub Date : 2019-12-11 , DOI: 10.1021/acsaelm.9b00702
Changjin Wan 1 , Yongli He 1 , Shanshan Jiang 1 , Jiaofu Li 2 , Qing Wan 1
Affiliation  

A new trend in brain-like computing is to develop more biologically realistic neuron models in order to accurately replicate the computational power of the biological counterparts. The brain-like computing platforms based on these models that resemble the organization of neurons in the brain would serve as a more efficient tool than traditional hardware. Recently, with the rapid development of neuromorphic devices, the realization of biologically accurate neurons to fit these models becomes feasible. In view of this, we propose the concept of the hardware biologically accurate neuron by reviewing the progress on achieving the essential neuronal information processing functions based on the emerging neuromorphic devices. Despite its infancy, the biologically accurate neuron already has exhibited an unprecedented potential to boost the hardware implementation of brain-like computation as well as leading a trend on neurorobotics and prosthetics. Challenges and perspectives are also addressed to shed light on future advances with respect to practical applications and translational implementations.

中文翻译:

生物精确神经元的新兴设备

类脑计算的新趋势是开发更具生物学现实性的神经元模型,以便准确地复制生物对应物的计算能力。基于这些模型的类似于大脑的计算平台,类似于大脑中神经元的组织,将成为比传统硬件更有效的工具。近来,随着神经形态装置的迅速发展,实现适合这些模型的生物学上精确的神经元变得可行。鉴于此,我们通过回顾基于新兴的神经形态设备实现基本神经元信息处理功能的进展,提出了硬件生物精确神经元的概念。尽管还处于起步阶段,生物学上准确的神经元已经展现出空前的潜力,可以促进类似大脑的计算的硬件实现,并引领着神经机器人学和假肢学的趋势。还提出了挑战和观点,以阐明在实际应用和转换实现方面的未来进展。
更新日期:2020-01-06
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