title: Unified principle of reinforcement in a neural-network model: Reply to N. T. Calvin and J. J. McDowell.
abstract: An article published in Behavioural Processes (Calvin and McDowell, 2015) contemplated that the approach to neural networks developed by the present authors cannot simulate certain behavioral findings, notably the Kamin blocking effect and successive conditioning. Here we demonstrate that these concerns are unwarranted as an overall characterization of the approach. In addition, several other more general issues identified in the target article are addressed as well. These include the determination of network architectures, the assignment-of-credit problem, the potential for catastrophic interference, and the falsifiability of the model.
authors.affiliation: University of Guadalajara, Jalisco, Mexico. Electronic address: jburgos@cucba.udg.mx.
authors.forename: José E
authors.initials: JE
authors.lastname: Burgos
authors.affiliation: University of Massachusetts, Amherst, MA, United States.
authors.forename: John W
authors.initials: JW
authors.lastname: Donahoe
mesh_terms: D000818:Animals; D001519:Behavior; D005075:Biological Evolution; D004777:Environment; D006801:Humans; D008960:Models, Psychological
keywords: Blocking; Catastrophic interference; Falsifiability; Neural networks; Successive conditioning; Unified principle of reinforcement