Optimizing the automatic selection of spike detection thresholds using a multiple of the noise level.
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Identification of a self-paced hitting task in freely moving rats based on adaptive spike detection from multi-unit M1 cortical signals.Automatic EEG spike detection.A Simple Method to Simultaneously Detect and Identify Spikes from Raw Extracellular Recordings.Efficient universal computing architectures for decoding neural activity.Evaluation of Decoding Algorithms for Estimating Bladder Pressure from Dorsal Root Ganglia Neural Recordings.Hidden Markov Models for Complex Stochastic Processes: A Case Study in Electrophysiology
P2860
Optimizing the automatic selection of spike detection thresholds using a multiple of the noise level.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 10 February 2009
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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Optimizing the automatic selec ...... a multiple of the noise level.
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Optimizing the automatic selec ...... a multiple of the noise level.
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Optimizing the automatic selec ...... a multiple of the noise level.
@en
Optimizing the automatic selec ...... a multiple of the noise level.
@nl
prefLabel
Optimizing the automatic selec ...... a multiple of the noise level.
@en
Optimizing the automatic selec ...... a multiple of the noise level.
@nl
P2860
P1476
Optimizing the automatic selec ...... a multiple of the noise level.
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P2093
Michael Rizk
Patrick D Wolf
P2860
P304
P356
10.1007/S11517-009-0451-2
P577
2009-02-10T00:00:00Z