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Volumn 69, Issue 7-9 SPEC. ISS., 2006, Pages 975-978
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Solving alignment problems in neural spike sorting using frequency domain PCA
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Author keywords
Alignment; Frequency domain principal component analysis (PCA); Neural spike sorting
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Indexed keywords
ERROR ANALYSIS;
FREQUENCY DOMAIN ANALYSIS;
PRINCIPAL COMPONENT ANALYSIS;
PROBLEM SOLVING;
WAVEFORM ANALYSIS;
ALIGNMENT ERRORS;
FREQUENCY DOMAIN PRINCIPAL COMPONENT ANALYSIS;
NEURAL SPIKE SORTING;
NEURAL NETWORKS;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
AUTOMATED PATTERN RECOGNITION;
CLUSTER ANALYSIS;
COMPUTER ANALYSIS;
COMPUTER SIMULATION;
INTERMETHOD COMPARISON;
METHODOLOGY;
PRINCIPAL COMPONENT ANALYSIS;
PRIORITY JOURNAL;
SIGNAL NOISE RATIO;
SIGNAL PROCESSING;
SPIKE WAVE;
WAVEFORM;
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EID: 32544441567
PISSN: 09252312
EISSN: None
Source Type: Journal
DOI: 10.1016/j.neucom.2005.06.006 Document Type: Article |
Times cited : (18)
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References (9)
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