Triphasic spike-timing-dependent plasticity organizes networks to produce robust sequences of neural activity

Frontiers in Computational Neuroscience

Volumn , Issue OCTOBER 2012, 2012, Pages

  Waddington, Amelia ^a   de Kamps, Marc ^a   Cohen, Netta ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; TIMING CIRCUITS;

ACTIVITY-DEPENDENT; COMPUTATIONAL MODEL; MULTILAYER STRUCTURES; RANDOM WALK MODELING; SPATIO-TEMPORAL FIRING PATTERNS; SPIKE TIMING DEPENDENT PLASTICITIES; TOPOLOGICAL CONSTRAINTS; UNIVERSAL FUNCTIONS;

NEURONS;

ARTICLE; COGNITION; COMPUTER MODEL; CONTROLLED STUDY; LEARNING; MATHEMATICAL MODEL; MOTOR RESPONSE; NEGATIVE FEEDBACK; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NERVE EXCITABILITY; NERVE FUNCTION; SENSORY ENCODING; SIMULATION; SONGBIRD; SPIKE WAVE; SYNAPSE; SYNFIRE CHAIN;

EID: 85088717592     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2012.00088     Document Type: Article

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