Comparison of Sneo-Based Neural Spike Detection Algorithms for Implantable Multi-Transistor Array Biosensors

Comparison of Sneo-Based Neural Spike Detection Algorithms for Implantable Multi-Transistor Array Biosensors

Real-time neural spike detection is an important step in understanding neurological activities and developing brain-silicon interfaces. Recent approaches exploit minimally invasive sensing techniques based on implanted complementary metal-oxide semiconductors (CMOS) multi transistors arrays (MTAs) t...

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Bibliographic Details
Main Authors: Gerardo Saggese, Mattia Tambaro, Elia A. Vallicelli, Antonio G. M. Strollo, Stefano Vassanelli, Andrea Baschirotto, Marcello De Matteis
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
spike detection
brain-silicon interface
digital signal processing
neuroscience
low power
noise estimators
Online Access:https://www.mdpi.com/2079-9292/10/4/410

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https://www.mdpi.com/2079-9292/10/4/410

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