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Efficient Architecture for Spike Sorting in Reconfigurable Hardware

This paper presents a novel hardware architecture for fast spike sorting. The architecture is able to perform both the feature extraction and clustering in hardware. The generalized Hebbian algorithm (GHA) and fuzzy C-means (FCM) algorithm are used for feature extraction and clustering, respectively...

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Uloženo v:
Hlavní autoři: Sheng-Ying Lai, Wei-Hao Lee, Shiow-Jyu Lin, Wen-Jyi Hwang
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2013-11-01
Edice:Sensors
Témata:
spike sorting
reconfigurable computing
system-on-chip
generalized Hebbian algorithm
fuzzy C-means
FPGA
On-line přístup:http://www.mdpi.com/1424-8220/13/11/14860
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