An Online-Spike-Sorting IC Using Unsupervised Geometry-Aware OSort Clustering for Efficient Embedded Neural-Signal Processing-Reference-Cited by-同舟云学术

An Online-Spike-Sorting IC Using Unsupervised Geometry-Aware OSort Clustering for Efficient Embedded Neural-Signal Processing

Published:2023-11 Issue:11 Volume:58 Page:2990-3002
ISSN:0018-9200
Container-title:IEEE Journal of Solid-State Circuits
language:
Short-container-title:IEEE J. Solid-State Circuits

Author:

Chen Yingping¹,Tacca Bernardo¹^ORCID,Chen Yunzhu¹,Biswas Dwaipayan¹^ORCID,Gielen Georges¹^ORCID,Catthoor Francky¹,Verhelst Marian¹^ORCID,Mora Lopez Carolina¹^ORCID

Affiliation:

1. Imec, Leuven, Belgium

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/4/10292770/10231079.pdf?arnumber=10231079

Reference35 articles.

1. A 0.78-µW 96-Ch. Deep Sub-Vt Neural Spike Processor Integrated with a Nanowatt Power Management Unit

2. Logarithmically scaled, gamma distributed neuronal spiking

3. A 75-µW, 16-Channel Neural Spike-Sorting Processor With Unsupervised Clustering

4. Note on a Method for Calculating Corrected Sums of Squares and Products

5. A 10.8 µW Neural Signal Recorder and Processor With Unsupervised Analog Classifier for Spike Sorting

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