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A calibration technique for very low current and compact tunable neuromorphic cells: Application to 5-bit 20nA DACs

机译:一种用于极低电流和紧凑型可调谐神经形态细胞的校准技术:应用于5位20nA DAC

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摘要

Low current applications, like neuromorphic circuits, where operating currents can be as low as a few nanoamperes or less, suffer from huge transistor mismatches, resulting in around or less than 1-bit precisions. Recently, a neuromorphic programmable-\udkernel 2-D convolution chip has been reported where each pixel included two compact calibrated digital-to-analog\udconverters (DACs) of 5-bit resolution, for currents down to picoamperes. Those DACs were based on MOS ladder structures,\udwhich although compact require unit transistors ( is\udthe number of calibration bits). Here, we present a new calibration\udapproach not based on ladders, but on individually calibratable\udcurrent sources made with MOS transistors of digitally adjustable\udlength, which require only -sized transistors. The scheme includes\uda translinear circuit-based tuning scheme, which allows\udus to expand the operating range of the calibrated circuits with\udgraceful precision degradation, over four decades of operating\udcurrents. Experimental results are provided for 5-bit resolution\udDACs operating at 20 nA using two different translinear tuning\udschemes. Maximum measured precision is 5.05 and 7.15 b, respectively,\udfor the two DAC schemes.
机译:低电流应用(如神经形态电路)的工作电流可能低至几纳安或更低,因此晶体管失配非常严重,导致精度约为1位或低于1位。最近,已经报道了一种神经形态可编程\ / udkernel二维卷积芯片,其中每个像素都包括两个紧凑的校准的5位分辨率的数模\ udconverter(DAC),电流低至皮安。这些DAC基于MOS梯形结构,虽然紧凑,但需要单位晶体管(是校准位数)。在此,我们提出了一种新的校准方法,该方法不是基于梯形图,而是基于由数字可调\长度的MOS晶体管制成的,可单独校准的\ udcurrent源,该晶体管仅需要尺寸大小合适的晶体管。该方案包括基于跨线性电路的调谐方案,该方案允许udus在四十年的运行\ udcurrent中以\ u的精度下降来扩展已校准电路的工作范围。提供了使用两种不同的跨线性调谐\ udschems以20 nA工作的5位分辨率\ udDAC的实验结果。对于两种DAC方案,最大测量精度分别为5.05和7.15 b。

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