Integer-based digital processor for the estimation of phase synchronization between neural signals
2016 12th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)(2016)
摘要
This paper reports a low area, low power, integer-based neural digital processor for the calculation of phase synchronization between two neural signals. The processor calculates the phase-frequency content of a signal by identifying the specific time periods associated with two consecutive minima. The simplicity of this phase-frequency content identifier allows for the digital processor to utilize only basic digital blocks, such as registers, counters, adders and subtractors, without incorporating any complex multiplication and or division algorithms. The low area and power consumptions make the processor an extremely scalable device which would work well in closed loop neural prosthesis for the treatment of neural diseases.
更多查看译文
关键词
integer-based digital processor,phase synchronization,neural signals,phase-frequency content,digital blocks,power consumptions,scalable device,closed loop neural prosthesis,neural diseases
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要