The capabilities and limitations of conductance-based compartmental neuron models with reduced branched or unbranched morphologies and active dendrites

Journal of Computational Neuroscience

Volumn 30, Issue 2, 2011, Pages 301-321

  Hendrickson, Eric B ^a,b   Edgerton, Jeremy R ^b   Jaeger, Dieter ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b EMORY UNIVERSITY   (United States)

Author keywords

Computational modeling; Conductance; Globus pallidus; Morphology; Simulation; Synaptic integration

Indexed keywords

BRAIN; NEURAL NETWORKS;

BRANCHING STRUCTURES; COMPUTATIONAL MODELLING; CONDUCTANCE; DENDRITICS; GLOBUS PALLIDUS; NEURON MODELING; PROCESSING CAPABILITY; REDUCED MODEL; SIMULATION; SYNAPTIC INTEGRATION;

NEURONS;

ARTICLE; BACK PROPAGATION; COMPARTMENT MODEL; COMPUTER SIMULATION; CONTROLLED STUDY; EXCITATORY POSTSYNAPTIC POTENTIAL; FUNCTIONAL MORPHOLOGY; GLOBUS PALLIDUS; HYPERPOLARIZATION; MATHEMATICAL COMPUTING; NERVE CELL MEMBRANE CONDUCTANCE; NERVE CELL NETWORK; NERVE FIBER GROWTH; PREDICTION; PRESYNAPTIC NERVE; PRIORITY JOURNAL; SENSORY FEEDBACK; SENSORY NERVE CONDUCTION; SODIUM CURRENT; SOMATIC CELL; SYNAPTIC TRANSMISSION;

EID: 79953321206     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-010-0258-z     Document Type: Article

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