PALMS is a computational tool implementing canonical and attentional Pavlovian learning models with support for large experiments and a new unified learning rate variant that combines Mackintosh and Pearce-Hall ideas.
Le Pelley, The role of associative history in models of associative learning: A selective review and a hybrid model, The Quarterly Journal of Experimental Psychology
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PALMS: A Computational Implementation for Pavlovian Associative Learning Models' Simulation
PALMS is a computational tool implementing canonical and attentional Pavlovian learning models with support for large experiments and a new unified learning rate variant that combines Mackintosh and Pearce-Hall ideas.