Statistical Analysis of Tract-Tracing Experiments Demonstrates a Dense, Complex Cortical Network in the Mouse

PLoS Computational Biology

Volumn 12, Issue 9, 2016, Pages

  Ypma, Rolf J F ^a,b   Bullmore, Edward T ^a,c,d,e  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b Hughes Hall   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d CAMBRIDGESHIRE AND PETERBOROUGH NHS FOUNDATION TRUST   (United Kingdom)

^e GLAXOSMITHKLINE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MAMMALS; NORMAL DISTRIBUTION; STOCHASTIC SYSTEMS; TOPOLOGY;

ANATOMICAL TRACTS; AUTOMATED METHODS; BRAIN REGIONS; CORTICAL NETWORK; GOLD STANDARDS; HIGH RESOLUTION; NOISE-MAKING; TRACING METHOD; TRACT-TRACING; WEAK CONNECTION;

BRAIN;

ARTICLE; BRAIN CORTEX; CONNECTOME; CONTROLLED STUDY; DORSAL ANTERIOR CINGULATE CORTEX; LEFT HEMISPHERE; MOTOR CORTEX; MOUSE; NEUROANATOMICAL TRACT TRACING; NONHUMAN; RELIABILITY; RIGHT HEMISPHERE; SIGNAL NOISE RATIO; STATISTICAL MODEL; STRIATE CORTEX; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; FACTUAL DATABASE; NERVE CELL NETWORK; NERVE TRACT; PHYSIOLOGY; PROCEDURES;

ANIMALS; COMPUTATIONAL BIOLOGY; CONNECTOME; DATABASES, FACTUAL; MICE; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; NEURAL PATHWAYS;

EID: 84989288316     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1005104     Document Type: Article

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