Long memory lifetimes require complex synapses and limited sparseness.
about
A saturation hypothesis to explain both enhanced and impaired learning with enhanced plasticity.Optimal learning rules for discrete synapsesOptimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3.Balanced increases in selectivity and tolerance produce constant sparseness along the ventral visual streamRe-encoding of associations by recurrent plasticity increases memory capacity.Towards neuro-inspired symbolic models of cognition: linking neural dynamics to behaviors through asynchronous communications.Processing Semblances Induced through Inter-Postsynaptic Functional LINKs, Presumed Biological Parallels of K-Lines Proposed for Building Artificial Intelligence.Structural plasticity controlled by calcium based correlation detection. helias@bccn.uni-freiburg.de.Recurrent network of perceptrons with three state synapses achieves competitive classification on real inputs.Capacity analysis in multi-state synaptic models: a retrieval probability perspective.The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off.Precise capacity analysis in binary networks with multiple coding level inputs.
P2860
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P2860
Long memory lifetimes require complex synapses and limited sparseness.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Long memory lifetimes require complex synapses and limited sparseness.
@en
Long memory lifetimes require complex synapses and limited sparseness.
@nl
type
label
Long memory lifetimes require complex synapses and limited sparseness.
@en
Long memory lifetimes require complex synapses and limited sparseness.
@nl
prefLabel
Long memory lifetimes require complex synapses and limited sparseness.
@en
Long memory lifetimes require complex synapses and limited sparseness.
@nl
P2860
P1476
Long memory lifetimes require complex synapses and limited sparseness.
@en
P2093
Daniel D Ben Dayan Rubin
Stefano Fusi
P2860
P356
10.3389/NEURO.10.007.2007
P50
P577
2007-11-30T00:00:00Z