Paired-associate learning predicted from free-association strength: An extension
نویسندگان
چکیده
منابع مشابه
Learning Paired-Associate Images with an Unsupervised Deep Learning Architecture
This paper presents an unsupervised multi-modal learning system that learns associative representation from two input modalities, or channels, such that input on one channel will correctly generate the associated response at the other and vice versa. In this way, the system develops a kind of supervised classification model meant to simulate aspects of human associative memory. The system uses ...
متن کاملExploring Action Dynamics as an Index of Paired-Associate Learning
Much evidence exists supporting a richer interaction between cognition and action than commonly assumed. Such findings demonstrate that short-timescale processes, such as motor execution, may relate in systematic ways to longer-timescale cognitive processes, such as learning. We further substantiate one direction of this interaction: the flow of cognition into action systems. Two experiments ex...
متن کاملAn Autoassociative Neural Network Model of Paired-Associate Learning
Hebbian heteroassociative learning is inherently asymmetric. Storing a forward association, from item A to item B, enables recall of B (given A), but does not permit recall of A (given B). Recurrent networks can solve this problem by associating A to B and B back to A. In these recurrent networks, the forward and backward associations can be differentially weighted to account for asymmetries in...
متن کاملAn association model for response and training variables in paired-associate learning.
This paper reports an attempt to apply a simple association learning model to the analysis of the influence of response and training variables on paired-associate learning. The issues under investigation are old ones but have not been resolved satisfactorily in the past. With the aid of the elementary learning model, the problems are posed clearly and, the data willing, adequately resolved by t...
متن کاملA Forgetting Model for Paired-Associate Learning
This paper presents a Markov model for paired-associate learning which is based on conclusion drawn from experimental studies of short-term memory. Learning of paired-associates is considered as a decrease in the probability of forgetting an association between trials. The ability of the model to account for experimental results is demonstrated by considering data from two experiments involving...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Psychonomic Science
سال: 1969
ISSN: 0033-3131
DOI: 10.3758/bf03336446