Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking

Frontiers in Computational Neuroscience

Volumn , Issue NOVEMBER, 2011, Pages 8-

  Muller, Lyle ^a   Brette, Romain ^b,c   Gutkin, Boris ^c  

^a Unite de Neurosciences Integratives et Computationnelles   (France)

^b UNIVERSITÉ PARIS DESCARTES   (France)

^c ECOLE NORMALE SUPÉRIEURE   (France)

Author keywords

Oscillations; Phase locking; Place fields; Spike timing dependent plasticity; Stability of neuronal plasticity; Stable learning

Indexed keywords

OSCILLATIONS; PHASE-LOCKING; PLACE FIELDS; SPIKE-TIMING-DEPENDENT PLASTICITY; STABLE LEARNING; NEURONAL PLASTICITY; SPIKE TIMING DEPENDENT PLASTICITIES;

ELECTROPHYSIOLOGY; COMPLEX NETWORKS; LOCKS (FASTENERS); PLASTICITY TESTING;

PLASTICITY TESTING; NEURONS;

ARTICLE; ELECTROPHYSIOLOGY; HIPPOCAMPUS; LEARNING; LOCAL FIELD POTENTIAL; MATHEMATICAL ANALYSIS; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NEUROMODULATION; NEUROSCIENCE; OSCILLATION; PHASE LOCKING; POSITIVE FEEDBACK; PRESYNAPTIC FIRING RATE; SIMULATION; SPIKE TIMING DEPENDENT PLASTICITY; SYNAPSE; BEHAVIOR; ELECTRIC POTENTIAL; FIRING RATE; MODULATION; PLASTICITY; SPIKE;

EID: 82955168007     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2011.00045     Document Type: Article

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