Spike-timing-dependent plasticity: a comprehensive overview.
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Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. I: Spike Generating Models on Converging MotifsEquilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation.Acoustic Coordinated Reset Neuromodulation: A Systematic Review of a Novel Therapy for Tinnitus.Dendritic and Axonal Propagation Delays Determine Emergent Structures of Neuronal Networks with Plastic Synapses.A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses.Synaptic scaling enables dynamically distinct short- and long-term memory formation.Input-dependent frequency modulation of cortical gamma oscillations shapes spatial synchronization and enables phase codingDifferential organization of cortical inputs to striatal projection neurons of the matrix compartment in rats.Control of Ca2+ Influx and Calmodulin Activation by SK-Channels in Dendritic Spines.The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit DynamicsCoordinated activation of distinct Ca(2+) sources and metabotropic glutamate receptors encodes Hebbian synaptic plasticity.Sniff-Like Patterned Input Results in Long-Term Plasticity at the Rat Olfactory Bulb Mitral and Tufted Cell to Granule Cell Synapse.A 4-fJ/Spike Artificial Neuron in 65 nm CMOS Technology.Dopamine regulates intrinsic excitability thereby gating successful induction of spike timing-dependent plasticity in CA1 of the hippocampus.Using Inspiration from Synaptic Plasticity Rules to Optimize Traffic Flow in Distributed Engineered Networks.Functional and structural underpinnings of neuronal assembly formation in learning.A compound memristive synapse model for statistical learning through STDP in spiking neural networksDynamic stability of sequential stimulus representations in adapting neuronal networks.How to train a neuron.Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. II: Spike Shuffling Methods on LIF Networks.Limits to high-speed simulations of spiking neural networks using general-purpose computers.Effects of Spike Anticipation on the Spiking Dynamics of Neural Networks.Coexistence of Multiple Types of Synaptic Plasticity in Individual Hippocampal CA1 Pyramidal Neurons.Learning and prospective recall of noisy spike pattern episodes.Anisomorphic cortical reorganization in asymmetric sensorineural hearing loss.Modular topology emerges from plasticity in a minimalistic excitable network model.A quantitative theory of gamma synchronization in macaque V1.Specific excitatory connectivity for feature integration in mouse primary visual cortex.How stimulation frequency and intensity impact on the long-lasting effects of coordinated reset stimulation.Capacity, Fidelity, and Noise Tolerance of Associative Spatial-Temporal Memories Based on Memristive Neuromorphic Networks.Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded LearningGeneral differential Hebbian learning: Capturing temporal relations between events in neural networks and the brainA structurally derived model of subunit-dependent NMDA receptor function
P2860
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P2860
Spike-timing-dependent plasticity: a comprehensive overview.
description
2012 nî lūn-bûn
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2012年の論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年论文
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2012年论文
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2012年论文
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name
Spike-timing-dependent plasticity: a comprehensive overview.
@en
Spike-timing-dependent plasticity: a comprehensive overview.
@nl
type
label
Spike-timing-dependent plasticity: a comprehensive overview.
@en
Spike-timing-dependent plasticity: a comprehensive overview.
@nl
prefLabel
Spike-timing-dependent plasticity: a comprehensive overview.
@en
Spike-timing-dependent plasticity: a comprehensive overview.
@nl
P2093
P2860
P50
P356
P1476
Spike-timing-dependent plasticity: a comprehensive overview.
@en
P2093
P J Sjöström
W Gerstner
P2860
P356
10.3389/FNSYN.2012.00002
P577
2012-07-12T00:00:00Z