Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution

Journal of Computational Neuroscience

Volumn 29, Issue 1-2, 2010, Pages 309-325

  Peyrache, Adrien ^a   Benchenane, Karim ^a   Khamassi, Mehdi ^a,b   Wiener, Sidney I ^a   Battaglia, Francesco P ^a,c  

^a Paris Sciences et Lettres   (France)

^b UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

^c UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Memory consolidation; PCA; Reactivation; Sleep

Indexed keywords

NEURONS; SLEEP RESEARCH;

CELL ASSEMBLY; HIGH TEMPORAL RESOLUTION; MEMORY CONSOLIDATION; NETWORK PROCESSING; PCA; PRINCIPAL-COMPONENT ANALYSIS; REACTIVATION; SIMULTANEOUS RECORDING; SINGLE NEURON; SLEEP;

PRINCIPAL COMPONENT ANALYSIS;

ANIMAL EXPERIMENT; ARTICLE; CONTROLLED STUDY; NERVE CELL; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL NETWORK; NONHUMAN; NREVE CELL ASSEMBLY; NULL HYPOTHESIS; OSCILLATION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RAT; RECORDING; SPIKE; STATISTICAL ANALYSIS;

EID: 77956895982     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-009-0154-6     Document Type: Article

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