title: An associative model of rat serial pattern learning in three-element sequences.
abstract: Hypotheses ranging from subsymbolic to symbolic have been proposed to account for rat sequential behaviour, and in the subsymbolic domain alone there are multiple proposed subsymbolic processes or factors thought to affect serial behaviour. A behavioural study and computer simulations were conducted to evaluate these hypotheses, and a new computational associative model based on pairwise associations and generalization was evaluated. Seven 3-element sequences were selected for study that systematically (1) varied sequence discriminability, (2) varied reward magnitude, and (3) manipulated the order of food quantities. Neither element discriminability nor response enhancement subsymbolic processes in isolation were able to account for the behavioural data; however, simulations from the computational model known as the sequential pairwise associative memory (SPAM) model with a log-linear mapping of stimulus dimension items to food quantities correlated well with the behavioural data. SPAM accounts for differential element anticipation in different sequences by appealing to pairwise association of sequence events and generalization between cues as the principal factors mediating pattern tracking in three-element sequences.
authors.affiliation: Kent State University, Kent, OH, USA. douglas.wallace@uleth.ca
authors.forename: Douglas G
authors.initials: DG
authors.lastname: Wallace
authors.forename: Stephen B
authors.initials: SB
authors.lastname: Fountain
mesh_terms: D000818:Animals; D001245:Association Learning / Q000502:physiology*; D003198:Computer Simulation; D005260:Female; D008568:Memory; D008960:Models, Psychological; D010363:Pattern Recognition, Automated; D051381:Rats; D020318:Rats, Long-Evans; D015203:Reproducibility of Results; D012691:Serial Learning / Q000502:physiology*; D012986:Software Validation