Literature DB >> 23366924

Low power and high accuracy spike sorting microprocessor with on-line interpolation and re-alignment in 90 nm CMOS process.

Tung-Chien Chen1, Tsung-Chuan Ma, Yun-Yu Chen, Liang-Gee Chen.   

Abstract

Accurate spike sorting is an important issue for neuroscientific and neuroprosthetic applications. The sorting of spikes depends on the features extracted from the neural waveforms, and a better sorting performance usually comes with a higher sampling rate (SR). However for the long duration experiments on free-moving subjects, the miniaturized and wireless neural recording ICs are the current trend, and the compromise on sorting accuracy is usually made by a lower SR for the lower power consumption. In this paper, we implement an on-chip spike sorting processor with integrated interpolation hardware in order to improve the performance in terms of power versus accuracy. According to the fabrication results in 90nm process, if the interpolation is appropriately performed during the spike sorting, the system operated at the SR of 12.5 k samples per second (sps) can outperform the one not having interpolation at 25 ksps on both accuracy and power.

Mesh:

Year:  2012        PMID: 23366924     DOI: 10.1109/EMBC.2012.6346963

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Minimum requirements for accurate and efficient real-time on-chip spike sorting.

Authors:  Joaquin Navajas; Deren Y Barsakcioglu; Amir Eftekhar; Andrew Jackson; Timothy G Constandinou; Rodrigo Quian Quiroga
Journal:  J Neurosci Methods       Date:  2014-04-24       Impact factor: 2.390

2.  Denoising and compression of intracortical signals with a modified MDL criterion.

Authors:  Elias S G Carotti; Vahid Shalchyan; Winnie Jensen; Dario Farina
Journal:  Med Biol Eng Comput       Date:  2014-03-18       Impact factor: 2.602

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.