Deep associative learning for neural networks

2021 ◽  
Vol 443 ◽  
pp. 222-234
Author(s):  
Jia Liu ◽  
Wenhua Zhang ◽  
Fang Liu ◽  
Liang Xiao
Keyword(s):  
Neural Networks ◽  
Associative Learning

Erratum to: Associative learning in early vision [Neural Networks 17 (5–6) 823–832]

2004 ◽  
Vol 17 (10) ◽  
pp. 1495
Author(s):  
Misha Tsodyks ◽  
Yeal Adini ◽  
Dov Sagi
Keyword(s):  
Neural Networks ◽  
Associative Learning ◽  
Early Vision

scholarly journals How training and testing histories affect generalization: a test of simple neural networks

2007 ◽  
Vol 362 (1479) ◽  
pp. 449-454 ◽  
Author(s):  
Stefano Ghirlanda ◽  
Magnus Enquist
Keyword(s):  
Neural Networks ◽  
Associative Learning ◽  
Associative Memory ◽  
Network Model ◽  
Peak Shift ◽  
Stimulus Range ◽  
Central Tendency ◽  
Testing Procedures ◽  
Extinction Testing ◽  
Simple Network

We show that a simple network model of associative learning can reproduce three findings that arise from particular training and testing procedures in generalization experiments: the effect of (i) ‘errorless learning’, (ii) extinction testing on peak shift, and (iii) the central tendency effect. These findings provide a true test of the network model which was developed to account for other phenomena, and highlight the potential of neural networks to study the phenomena that depend on sequences of experiences with many stimuli. Our results suggest that at least some such phenomena, e.g. stimulus range effects, may derive from basic mechanisms of associative memory rather than from more complex memory processes.

Associative Learning on a Continuum in Evolved Dynamical Neural Networks

2008 ◽  
Vol 16 (6) ◽  
pp. 361-384 ◽  
Author(s):  
Eduardo Izquierdo ◽  
Inman Harvey ◽  
Randall D. Beer
Keyword(s):  
Neural Networks ◽  
Associative Learning ◽  
Dynamical Neural Networks

Blocking Is Sensitive to Causal Structure in 4-Year-Old and 8-Year-Old Children

2005 ◽  
Vol 52 (4) ◽  
pp. 264-271 ◽  
Author(s):  
Tom Beckers ◽  
Uschi Van den Broeck ◽  
Marij Renne ◽  
Stefaan Vandorpe ◽  
Jan De Houwer ◽  
...  
Keyword(s):  
Young Children ◽  
Associative Learning ◽  
Learning Theory ◽  
Causal Structure ◽  
Age Groups ◽  
Learning Task ◽  
Contingency Learning

Abstract. In a contingency learning task, 4-year-old and 8-year-old children had to predict the outcome displayed on the back of a card on the basis of cues presented on the front. The task was embedded in either a causal or a merely predictive scenario. Within this task, either a forward blocking or a backward blocking procedure was implemented. Blocking occurred in the causal but not in the predictive scenario. Moreover, blocking was affected by the scenario to the same extent in both age groups. The pattern of results was similar for forward and backward blocking. These results suggest that even young children are sensitive to the causal structure of a contingency learning task and that the occurrence of blocking in such a task defies an explanation in terms of associative learning theory.

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