Parallel distribution of an inner hair cell and auditory nerve model for real-time application

IF 3.8 2区医学 Q2 ENGINEERING, BIOMEDICAL

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2017-01-01 DOI:10.1109/BIOCAS.2017.8325171

R. James, J. Garside, Michael Hopkins, L. Plana, S. Temple, Simon Davidson, S. Furber

引用次数: 3

Abstract

This paper summarises recent efforts into implementing a model of the inner hair cell and auditory nerve on a neuromorphic hardware platform, the SpiNNaker machine. Such an implementation exploits the massive parallelism of the target architecture to obtain real-time modelling to a biologically realistic number of human auditory nerve fibres. The potential for incorporating this implementation into a full-scale digital realtime model of the human auditory pathway is then discussed.

查看原文本刊更多论文

实时应用的内毛细胞与听神经并行分布模型

本文总结了最近在神经形态硬件平台SpiNNaker机器上实现内毛细胞和听神经模型的努力。这样的实现利用目标结构的大规模并行性来获得对生物上真实数量的人类听觉神经纤维的实时建模。然后讨论了将这种实现纳入人类听觉通路的全尺寸数字实时模型的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Transactions on Biomedical Circuits and Systems 工程技术-工程：电子与电气

CiteScore

10.00

自引率

13.70%

发文量

174

审稿时长

3 months

期刊介绍： The IEEE Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems Society to a wide variety of related areas such as: • Bioelectronics • Implantable and wearable electronics like cochlear and retinal prosthesis, motor control, etc. • Biotechnology sensor circuits, integrated systems, and networks • Micropower imaging technology • BioMEMS • Lab-on-chip Bio-nanotechnology • Organic Semiconductors • Biomedical Engineering • Genomics and Proteomics • Neuromorphic Engineering • Smart sensors • Low power micro- and nanoelectronics • Mixed-mode system-on-chip • Wireless technology • Gene circuits and molecular circuits • System biology • Brain science and engineering: such as neuro-informatics, neural prosthesis, cognitive engineering, brain computer interface • Healthcare: information technology for biomedical, epidemiology, and other related life science applications. General, theoretical, and application-oriented papers in the abovementioned technical areas with a Circuits and Systems perspective are encouraged to publish in TBioCAS. Of special interest are biomedical-oriented papers with a Circuits and Systems angle.