Neocortical axon arbors trade-off material and conduction delay conservation

PLoS Computational Biology

Volumn 6, Issue 3, 2010, Pages

  Budd, Julian M L ^a   Kovács, Krisztina ^b,c   Ferecskó, Alex S ^b,c   Buzás, Péter ^b,d   Eysel, Ulf T ^b   Kisvárday, Zoltán F ^b,e  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b RUHR UNIVERSITY BOCHUM   (Germany)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^d UNIVERSITY OF PÉCS   (Hungary)

^e UNIVERSITY OF DEBRECEN   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; CYTOLOGY; DISPERSIONS; ECONOMIC AND SOCIAL EFFECTS; NEURAL NETWORKS; NEURONS; PHYSICAL PROPERTIES; WIRE;

BASKET CELL; CEREBRAL CORTEX; COMMUNICATION COST; CONSERVATION LAW; GRAPH OPTIMIZATION ALGORITHMS; IN-VIVO; INFORMATION FLOWS; TEMPORAL DISPERSION; TRADE OFF; WIRE LENGTH;

CELLS;

ALGORITHM; ANIMAL EXPERIMENT; ARTICLE; CAT; CELL COMMUNICATION; CONTROLLED STUDY; CORTICAL SYNCHRONIZATION; LEARNING ALGORITHM; NEOCORTEX; NERVE CELL INHIBITION; NERVE CELL NETWORK; NERVE CELL STIMULATION; NERVE CONDUCTION; NERVE FIBER GROWTH; NONHUMAN; OSCILLATION; SIGNAL DETECTION; ANIMAL; AUDIOVISUAL EQUIPMENT; BIOLOGICAL MODEL; CYTOLOGY; HUMAN; NERVE FIBER; PHYSIOLOGY; REACTION TIME; SYNAPTIC TRANSMISSION; ULTRASTRUCTURE;

ANIMALS; AXONS; HUMANS; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; NEOCORTEX; NERVE NET; NEURAL CONDUCTION; REACTION TIME; SYNAPTIC TRANSMISSION;

EID: 77950838843     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000711     Document Type: Article

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