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A Wireless Electro-Optic Headstage With a 0.13-

机译:具有0.13的无线光电探头

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We present a wireless electro-optic headstage that uses a 0.13-${mu}$m CMOS custom integrated circuit (IC) implementing a digital neural decoder (ND-IC) for enabling real-time closed-loop (CL) optogenetics. The ND-IC processes the neural activity data using three digital cores: 1) the detector core detects and extracts the action potential (AP) of individual neurons by using an adaptive threshold; 2) the data compression core compresses the detected AP by using an efficient Symmlet-2 discrete wavelet transform (DWT) processor for decreasing the amount of data to be transmitted by the low-power wireless link; and 3) the classification core sorts the compressed AP into separated clusters on the fly according to their wave shapes. The ND-IC encompasses several innovations: 1) the compression core decreases the complexity from O(n${2}$) to O(n$cdot$ log(n)) compared to the previous solutions, while using two times less memory, thanks to the use of a new coefficient sorting tree; and 2) the AP classification core reuses both the compressed DWT coefficients to perform implicit dimensionality reduction, which allows for performing intensive signal processing on-chip, while increasing power and hardware efficiency. This core also reuses the signal standard deviation already computed by the AP detector core as threshold for performing automatic AP sorting. The headstage also introduces innovations by enabling a new wireless CL scheme between the neural data acquisition module and the optical stimulator. Our CL scheme uses the AP sorting and timing information produced by the ND-IC for detecting complex firing patterns within the brain. The headstage is also smaller (1.13 cm${3}$), lighter (3.0g with a 40mAh battery) and less invasive than the previous solutions, while providing a measured autonomy of 2h40, with the ND-IC. The whole system and the ND-IC are first validated in vivo in the LD thalamus of a Long-Evans rat, and then in freely-moving CL experiments involving a mouse virally expressing ChR2-mCherry in inhibitory neurons of the prelimbic cortex, and the results show that our system works well within an in vivo experimental setting with a freely moving mouse.
机译:我们提出了一种无线电光探头,它使用0.13-$ { mu} $ m CMOS定制集成电路(IC)来实现数字神经解码器(ND-IC),以实现实时闭环(CL)光遗传学。 ND-IC使用三个数字核处理神经活动数据:1)检测器核通过使用自适应阈值检测并提取单个神经元的动作电位(AP); 2)数据压缩核心通过使用高效的Symmlet-2离散小波变换(DWT)处理器压缩检测到的AP,以减少要由低功率无线链路传输的数据量; 3)分类核心根据它们的波形动态地将压缩的AP分类为分离的簇。 ND-IC包含多项创新:1)与以前的解决方案相比,压缩核心将复杂度从O(n $ {2} $)降低到O(n $ cdot $ log(n)),而使用的压缩量却少了两倍内存,这要归功于使用新的系数排序树; 2)AP分类核心重新使用两个压缩的DWT系数来执行隐式降维,从而允许在芯片上执行密集的信号处理,同时提高功耗和硬件效率。该核心还重用了AP检测器核心已经计算出的信号标准偏差作为执行自动AP分类的阈值。前端还通过在神经数据采集模块和光学刺激器之间启用新的无线CL方案来引入创新。我们的CL方案使用ND-IC生成的AP分类和定时信息来检测大脑中的复杂触发模式。与ND-IC相比,该耳机的前部体积更小(1.13 cm $ {3} $),重量更轻(3.0g,带有40mAh电池),且侵入性更小,同时具有ND-IC,可测量的自治时间为2h40。整个系统和ND-IC首先在Long-Evans大鼠的LD丘脑中进行体内验证,然后在自由移动的CL实验中进行验证,该实验涉及在前肢皮层抑制神经元中病毒表达ChR2-mCherry的小鼠,结果表明,我们的系统在使用自由移动鼠标的体内实验环境中运行良好。

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