A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.
about
Developmental self-construction and -configuration of functional neocortical neuronal networksEquilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation.Plasticity of cortical excitatory-inhibitory balance.Optogenetic spatial and temporal control of cortical circuits on a columnar scale.The Role of Neuromodulators in Cortical Plasticity. A Computational PerspectiveEmerging feed-forward inhibition allows the robust formation of direction selectivity in the developing ferret visual cortexSpectral analysis of input spike trains by spike-timing-dependent plasticity.Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticityThe Convallis rule for unsupervised learning in cortical networks.What is the appropriate description level for synaptic plasticity?Spatiotemporal Spike Coding of Behavioral Adaptation in the Dorsal Anterior Cingulate Cortex.Induction and Consolidation of Calcium-Based Homo- and Heterosynaptic Potentiation and Depression.Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation.Testing the nanoparticle-allostatic cross-adaptation-sensitization model for homeopathic remedy effectsHeterosynaptic plasticity: multiple mechanisms and multiple roles.Natural Firing Patterns Imply Low Sensitivity of Synaptic Plasticity to Spike Timing Compared with Firing Rate.Hebbian plasticity requires compensatory processes on multiple timescales.Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance.Networks that learn the precise timing of event sequences.Identification of Stable Spike-Timing-Dependent Plasticity from Spiking Activity with Generalized Multilinear Modeling.Excitatory and inhibitory STDP jointly tune feedforward neural circuits to selectively propagate correlated spiking activity.Demography-based adaptive network model reproduces the spatial organization of human linguistic groups.Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity.Learning complex temporal patterns with resource-dependent spike timing-dependent plasticityEmergence of connectivity motifs in networks of model neurons with short- and long-term plastic synapses.A generative spike train model with time-structured higher order correlations.Emergent Dynamical Properties of the BCM Learning Rule.Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity.Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.STDP-Compatible Approximation of Backpropagation in an Energy-Based Model.Cortical amplification models of experience-dependent development of selective columns and response sparsification.Frequency selectivity emerging from spike-timing-dependent plasticity.Emergent spatial synaptic structure from diffusive plasticity.Effects of Firing Variability on Network Structures with Spike-Timing-Dependent Plasticity.Backward reasoning the formation rules.A calcium-based simple model of multiple spike interactions in spike-timing-dependent plasticity.
P2860
Q27320081-70A6AACC-B5D7-4BA6-9F3A-FEA14B6950B3Q29994828-D42F9F52-FAAC-4847-8BE2-67BC75DDF44FQ30398551-2476878A-82EF-4719-BA9B-85992D7FBC01Q30746214-3CE0BA45-558E-4FD7-8DE7-9020BBA81592Q30834373-DC628C1B-B049-4897-B09A-97EE99EC21EFQ33906289-55C2D46E-26BA-4D1E-9FDF-DD87D5EA12DBQ34335478-A4CE704F-5402-4664-8208-E3727042A2AEQ34697786-D3CE7F72-386C-4C5C-8812-56C8C09302C6Q35034106-657413B8-2F1D-47A2-A230-71E080E16FC2Q35585641-2526B148-E1F0-4C70-9F0F-31AAC50BBC63Q35743568-92A04520-35E5-4D0D-BEAD-9B00F8BF1A01Q36112795-CEB87895-4E16-436A-A167-0E817192E974Q36149986-0798C2EB-3BA1-4389-BD72-0A0913D998DCQ36515121-62E833DC-A72A-401B-AB96-D9E01C70FA62Q37046902-C2AC68A5-A022-4852-9263-87CD9FAB0D18Q37490421-B92D099D-0FCF-4FDB-A47F-BD114F607E60Q37595156-3BDD61B4-C356-429C-8B27-F4D204F5E34EQ38698951-B4454D27-42EE-4D08-B4DF-C5366C0D8806Q38967888-A5D384A7-B0C6-4E66-9688-1A572E236F33Q39457715-FB686007-DD02-4051-B3F6-6060B79E364BQ39573756-B0D22365-06CA-4832-9C1E-F41AE148111DQ40110190-A612A2F6-342C-4188-877A-D37EB8BECEE0Q41010221-8CB3CDC0-DD4B-4368-882D-0E83A7A7A82EQ41394751-98297F6B-595A-42AA-B100-D33F1A459E71Q41874152-294119B5-97CD-4472-AB9E-1F3E71913EF3Q41886150-45B57423-8DDD-4BC9-8E03-3E86288640B8Q41952767-9705436A-9990-40F4-B64E-4CC9261A4A87Q42416112-21647175-E216-4370-BA3B-D51B309E572EQ42906956-E3B25624-358B-4321-A82E-8FA49B15CF8CQ48008151-0B3167C1-14E8-49C7-ADC5-96CF61C9CEFFQ48130136-43483CC6-98BB-470B-8DD1-8946C4734A32Q48460253-08B46DDC-9CD1-4ACD-ADA7-B50E8F02362CQ48721592-A430DD79-2C9D-45FA-A600-613A88706F6BQ49390490-4A2B39C6-6CA8-49F4-A9B2-DE697F835775Q50547642-7F8DAB32-2D4A-46BF-A115-48092E83AB47Q51227374-64D250A0-4072-470B-BD9A-FC2C05C9286F
P2860
A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
A triplet spike-timing-depende ...... r spatiotemporal correlations.
@ast
A triplet spike-timing-depende ...... r spatiotemporal correlations.
@en
type
label
A triplet spike-timing-depende ...... r spatiotemporal correlations.
@ast
A triplet spike-timing-depende ...... r spatiotemporal correlations.
@en
prefLabel
A triplet spike-timing-depende ...... r spatiotemporal correlations.
@ast
A triplet spike-timing-depende ...... r spatiotemporal correlations.
@en
P2860
P50
P356
P1476
A triplet spike-timing-depende ...... r spatiotemporal correlations.
@en
P2093
Claudia Clopath
Juliette Audet
P2860
P304
19383-19388
P356
10.1073/PNAS.1105933108
P407
P577
2011-11-11T00:00:00Z