Noise tolerance of attractor and feedforward memory models.
about
Correlated neural variability in persistent state networks.Correlations in background activity control persistent state stability and allow execution of working memory tasks.Computational principles of memory.Neutral stability, rate propagation, and critical branching in feedforward networks.Nearly extensive sequential memory lifetime achieved by coupled nonlinear neurons.
P2860
Noise tolerance of attractor and feedforward memory models.
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
Noise tolerance of attractor and feedforward memory models.
@en
type
label
Noise tolerance of attractor and feedforward memory models.
@en
prefLabel
Noise tolerance of attractor and feedforward memory models.
@en
P2860
P356
P1433
P1476
Noise tolerance of attractor and feedforward memory models.
@en
P2093
Mark S Goldman
Sukbin Lim
P2860
P304
P356
10.1162/NECO_A_00234
P577
2011-11-17T00:00:00Z