Generation of dense statistical connectomes from sparse morphological data

Frontiers in Neuroanatomy

Volumn 8, Issue November, 2014, Pages

  Egger, Robert ^a,b,c   Dercksen, Vincent J ^d   Udvary, Daniel ^a,b,c   Hege, Hans Christian ^d   Oberlaender, Marcel ^a,c,e  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c Bernstein Center for Computational Neuroscience   (Germany)

^d ZUSE INSTITUTE BERLIN   (Germany)

^e MAX PLANCK FLORIDA INSTITUTE FOR NEUROSCIENCE   (United States)

Author keywords

Axon; Barrel cortex; Cortical column; Dendrite; Peters' rule; Thalamus

Indexed keywords

ANIMAL TISSUE; ARTICLE; BRAIN REGION; COMPUTER MODEL; CONTROLLED STUDY; DATA ANALYSIS; DATA ANALYSIS SOFTWARE; DENDRITE; ELECTRON TOMOGRAPHY; IMAGE RECONSTRUCTION; INNERVATION; MORPHOLOGICAL TRAIT; NERVE CELL NETWORK; NERVE FIBER; NONHUMAN; POSTSYNAPTIC DENSITY; RAT; SOMATOSENSORY CORTEX; STATISTICAL MODEL; SYNAPSE; VOXEL BASED MORPHOMETRY;

EID: 84910146215     PISSN: None     EISSN: 16625129     Source Type: Journal    
DOI: 10.3389/fnana.2014.00129     Document Type: Article

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