Rules and associations : hidden Markov models and neural networks in the psychology of learning

Thesis

Cover

Titlepage

Voorwoord

Contents

1 Cognitive rules

Part I Theory and simulations

2 On the computational power and interpretation of subsymbolic processes

3 Hidden Markov model interpretations of neural networks

4 Confidence intervals for hidden Markov model parameters

Part II Experimental data

5 Fitting hidden Markov models to psychological data

6 Reaction times and predictions in implicit sequence learning

7 Associations and dissociations between direct and indirect measures of sequence learning

8 Discussion

A Hidden Markov interpretations of neural networks

B Manual of Markovfit 1.6

C Regels en Associaties Nederlandse samenvatting

Bibliography

Index

Author index

Cover