Toward Ultra-large Scale Neural Spike Sorting with Distributed Sorting Channels and Unsupervised Training
Author:
Affiliation:
1. Shanghai Jiao Tong University,Department of Micro-Nano Electronics,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937424.pdf?arnumber=9937424
Reference20 articles.
1. Hierarchical Adaptive Means (HAM) clustering for hardware-efficient, unsupervised and real-time spike sorting
2. An Adaptive Neural Spike Processor With Embedded Active Learning for Improved Unsupervised Sorting Accuracy
3. Unsupervised and real-time spike sorting chip for neural signal processing in hippocampal prosthesis
4. An Area-Efficient 128-Channel Spike Sorting Processor for Real-Time Neural Recording With $0.175~\mu$ W/Channel in 65-nm CMOS
5. Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An Online-Spike-Sorting IC Using Unsupervised Geometry-Aware OSort Clustering for Efficient Embedded Neural-Signal Processing;IEEE Journal of Solid-State Circuits;2023-11
2. A 16-channel Reconfigurable Neural Spike Sorting System with Distributed Tiles and Neural Network Engine Based on FPGA;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19
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