Zhang, Tim, Lammie, Corey, Azghadi, Mostafa Rahimi, Amirsoleimani, Amirali, Ahmadi, Majid, and Genov, Roman (2022) Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation. In: Proceedings of the IEEE 65th Midwest Symposium on Circuits and Systems. From: MWSCAS 2022: IEEE 65th International Midwest Symposium on Circuits and Systems, 7-10 August 2022, Fukuoka, Japan.

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Abstract

Spike sorting algorithms are used to separate extracellular recordings of neuronal populations into single-unit spike activities. The development of customized hardware implementing spike sorting algorithms is burgeoning. However, there is a lack of a systematic approach and a set of standardized evaluation criteria to facilitate direct comparison of both software and hardware implementations. In this paper, we formalize a set of standardized criteria and a publicly available synthetic dataset entitled Synthetic Simulations Of Extracellular Recordings (SSOER), which was constructed by aggregating existing synthetic datasets with varying Signal-To-Noise Ratios (SNRs). Furthermore, we present a benchmark for future comparison, and use our criteria to evaluate a simulated Resistive Random-Access Memory (RRAM) In-Memory Computing (IMC) system using the Discrete Wavelet Transform (DWT) for feature extraction. Our system consumes approximately (per channel) 10.72mW and occupies an area of 0.66mm2 in a 22nm FDSOI Complementary Metal-Oxide-Semiconductor (CMOS) process.

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