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Statements

Subject Item
n2:RIV%2F68407700%3A21460%2F12%3A00186091%21RIV13-MSM-21460___
rdf:type
n13:Vysledek skos:Concept
dcterms:description
It has been shown in studies of biological synaptic plasticity that synaptic efficacy can change in a very short time window, compared to the time scale associated with typical neural events. This time scale is small enough to possibly have an effect on pattern recall processes in neural networks. We study properties of a neural network which uses a cyclic Hebb rule. Then we add the short term potentiation of synapses in the recall phase. We show that this approach preserves the ability of the network to recognize the patterns stored by the network and that the network does not respond to other patterns at the same time. We show that this approach dramatically increases the capacity of the network at the cost of a longer pattern recall process. We discuss that the network possesses two types of recall. It has been shown in studies of biological synaptic plasticity that synaptic efficacy can change in a very short time window, compared to the time scale associated with typical neural events. This time scale is small enough to possibly have an effect on pattern recall processes in neural networks. We study properties of a neural network which uses a cyclic Hebb rule. Then we add the short term potentiation of synapses in the recall phase. We show that this approach preserves the ability of the network to recognize the patterns stored by the network and that the network does not respond to other patterns at the same time. We show that this approach dramatically increases the capacity of the network at the cost of a longer pattern recall process. We discuss that the network possesses two types of recall.
dcterms:title
Short-Term Potentiation Effect on Pattern Recall in Sparsely Coded Neural Network Short-Term Potentiation Effect on Pattern Recall in Sparsely Coded Neural Network
skos:prefLabel
Short-Term Potentiation Effect on Pattern Recall in Sparsely Coded Neural Network Short-Term Potentiation Effect on Pattern Recall in Sparsely Coded Neural Network
skos:notation
RIV/68407700:21460/12:00186091!RIV13-MSM-21460___
n13:predkladatel
n14:orjk%3A21460
n3:aktivita
n16:Z
n3:aktivity
Z(MSM0021620806), Z(MSM6840770012)
n3:cisloPeriodika
1
n3:dodaniDat
n8:2013
n3:domaciTvurceVysledku
n17:1152548
n3:druhVysledku
n19:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
167754
n3:idVysledku
RIV/68407700:21460/12:00186091
n3:jazykVysledku
n7:eng
n3:klicovaSlova
sparsely coded neural network; auto-associative neural network; Hebb rule; dynamic synapses
n3:klicoveSlovo
n6:Hebb%20rule n6:dynamic%20synapses n6:auto-associative%20neural%20network n6:sparsely%20coded%20neural%20network
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[CA13256EA6AA]
n3:nazevZdroje
Neurocomputing
n3:obor
n20:JC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n8:2012
n3:svazekPeriodika
77
n3:tvurceVysledku
Stroffek, J. Maršálek, Petr
n3:wos
000298206400011
n3:zamer
n10:MSM0021620806 n10:MSM6840770012
s:issn
0925-2312
s:numberOfPages
6
n12:doi
10.1016/j.neucom.2011.08.021
n15:organizacniJednotka
21460