Finding neural assemblies with frequent item set mining

Frontiers in Neuroinformatics

Volumn 7, Issue MAY, 2013, Pages

  Picado Muiño, David ^a   Borgelt, Christian ^a   Berger, Denise ^b   Gerstein, George ^c   Grün, Sonja ^d,e,f  

^a EUROPEAN CENTRE FOR SOFT COMPUTING   (Spain)

^b IRCCS FONDAZIONE SANTA LUCIA   (Italy)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d FORSCHUNGSZENTRUM JÜLICH   (Germany)

^e RWTH AACHEN UNIVERSITY   (Germany)

^f RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Cell assembly; Frequent item set mining; Higher order correlation; Massively parallel spike trains; Multi variate significance testing; Surrogate data; Synchronous spike patterns

Indexed keywords

ADRENAL CORTEX CELL; ARTICLE; CLINICAL DATA REPOSITORY; CORRELATION COEFFICIENT; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FISHER EXACT TEST; FREQUENT ITEM SET MINING; NERVE CELL; NERVE CELL NETWORK; REDUNDANCY ANALYSIS; SPIKE; STATISTICAL SIGNIFICANCE; YATES CONTINUITY CORRECTION;

EID: 84886753448     PISSN: 16625196     EISSN: None     Source Type: Journal    
DOI: 10.3389/fninf.2013.00009     Document Type: Article

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