title: Synthesizing animal and human behavior research via neural network learning theory.
abstract: Animal and human research have been "divorced" since approximately 1968. Several recent articles have tried to persuade behavior therapists of the merits of animal research. Three reasons are given concerning why disinterest in animal research is so widespread: (1) functional explanations are given for animals, and cognitive explanations are given for humans; (2) serial symbol manipulating models are used to explain human behavior; and (3) human learning was assumed, thereby removing it as something to be explained. Brain-inspired connectionist neural networks, collectively referred to as neural network learning theory (NNLT), are briefly described, and a spectrum of their accomplishments from simple conditioning through speech is outlined. Five benefits that behavior therapists can derive from NNLT are described. They include (a) enhanced professional identity derived from a comprehensive learning theory, (b) improved interdisciplinary collaboration both clinically and scientifically, (c) renewed perceived relevance of animal research, (d) access to plausible proximal causal mechanisms capable of explaining operant conditioning, and (e) an inherently developmental perspective.
authors.affiliation: Department of Psychology, Fordham University, Bronx, NY 10458-5198, USA.
authors.forename: W W
authors.initials: WW
authors.lastname: Tryon
mesh_terms: D000818:Animals; D001522:Behavior, Animal; D001921:Brain / Q000502:physiology; D003216:Conditioning, Operant; D006801:Humans; D007858:Learning; D009415:Nerve Net / Q000502:physiology*