A method for modeling and visualizing the three-dimensional organization of neuron populations from replicated data: Properties, implementation and illustration

Pattern Recognition Letters

Volumn 32, Issue 14, 2011, Pages 1894-1901

  Burguet, J ^a,b   Maurin, Y ^a,b   Andrey, P ^a,b,c  

^a INRA   (France)

^b UNIVERSITÉ PARIS SACLAY   (France)

^c SORBONNE UNIVERSITÉ   (France)

Author keywords

Cell density; kth nearest neighbor distance; Neuroanatomy; Point process

Indexed keywords

ANIMAL BRAIN; BRAIN FUNCTIONS; CELL DENSITY; EFFICIENT IMPLEMENTATION; INTERPRETABLE REPRESENTATION; K-TH NEAREST NEIGHBORS; MAIN PARAMETERS; NEUROANATOMY; NEURON POPULATION; NEURONAL POPULATIONS; PARAMETER-TUNING; POINT PATTERNS; POINT PROCESS; REPLICATED DATA; STATISTICAL DENSITY; STATISTICAL PROPERTIES;

THREE DIMENSIONAL;

POPULATION STATISTICS;

EID: 80052850166     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2011.07.008     Document Type: Article

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