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Opposing Effects of Neuronal Activity on Structural PlasticityToward an Integration of Deep Learning and NeuroscienceRelative Contributions of Specific Activity Histories and Spontaneous Processes to Size Remodeling of Glutamatergic Synapses.Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses.P300 amplitude variations, prior probabilities, and likelihoods: A Bayesian ERP study.Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception.Evaluation of ambiguous associations in the amygdala by learning the structure of the environment.Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex.A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning.Neural Correlate of Transition Violation and Deviance Detection in the Songbird Auditory Forebrain
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description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Network Plasticity as Bayesian Inference
@ast
Network Plasticity as Bayesian Inference
@en
type
label
Network Plasticity as Bayesian Inference
@ast
Network Plasticity as Bayesian Inference
@en
prefLabel
Network Plasticity as Bayesian Inference
@ast
Network Plasticity as Bayesian Inference
@en
P2860
P1476
Network Plasticity as Bayesian Inference
@en
P2093
David Kappel
Stefan Habenschuss
P2860
P304
P356
10.1371/JOURNAL.PCBI.1004485
P577
2015-11-06T00:00:00Z
P5875
P698
P818
1504.05143