Evaluation of In Vivo Spike Detection Algorithms for Implantable MTA Brain—Silicon Interfaces

Evaluation of In Vivo Spike Detection Algorithms for Implantable MTA Brain—Silicon Interfaces

This work presents a comparison between different neural spike algorithms to find the optimum for in vivo implanted EOSFET (electrolyte–oxide-semiconductor field effect transistor) sensors. EOSFET arrays are planar sensors capable of sensing the electrical activity of nearby neuron populations in bo...

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Bibliographic Details
Main Authors: Mattia Tambaro, Elia Arturo Vallicelli, Gerardo Saggese, Antonio Strollo, Andrea Baschirotto, Stefano Vassanelli
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Journal of Low Power Electronics and Applications
Subjects:
digital signal processing
signal detection
real-time systems
neuroscience
low power
Online Access:https://www.mdpi.com/2079-9268/10/3/26

Internet

https://www.mdpi.com/2079-9268/10/3/26

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