State based model of long-term potentiation and synaptic tagging and capture

PLoS Computational Biology

Volumn 5, Issue 1, 2009, Pages

  Barrett, Adam B ^a   Billings, Guy O ^a   Morris, Richard G M ^a   Van Rossum, Mark C W ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOPHYSICAL MODEL; HIGH FREQUENCY HF; LONG LASTING; LONG-TERM POTENTIATIONS; PHYSICAL STATE; PLASTICITY PROTOCOLS; STATE-BASED MODELLING; SYNAPTIC PLASTICITY; SYNTHESISED; TRANSITION RATES;

BIOSYNTHESIS;

ARTICLE; BRAIN FUNCTION; HIPPOCAMPUS; LONG TERM POTENTIATION; NERVE CELL PLASTICITY; SYNAPTIC POTENTIAL; THEORETICAL MODEL; ANIMAL; BIOLOGICAL MODEL; ELECTROSTIMULATION; EVOKED RESPONSE; GENETICS; HUMAN; MEMORY; METABOLISM; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; STATISTICS; SYNAPSE; SYNAPTIC TRANSMISSION;

NERVE PROTEIN;

ANIMALS; ELECTRIC STIMULATION; EVOKED POTENTIALS; HIPPOCAMPUS; HUMANS; LONG-TERM POTENTIATION; MEMORY; MODELS, NEUROLOGICAL; NERVE NET; NERVE TISSUE PROTEINS; NEURONS; STOCHASTIC PROCESSES; SYNAPSES; SYNAPTIC TRANSMISSION;

EID: 59149101067     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000259     Document Type: Article

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