nROUSE-package: Functions for the nROUSE model

In rettopnivek/nROUSE: Functions for the nROUSE model

Description

The nROUSE package provides a set of functions to simulate and estimate the nROUSE model (Huber & O'Reilly, 2003; Rieth & Huber, 2017). The nROUSE model is a neural network model that accounts for accuracy performance in experimental paradigms that involve perceptual identification with repetition priming. The model posits that manipulations of prime type and duration influence accuracy performance via the non-linear interaction of lingering perceptual activation and neural habituation.

Author(s)

Kevin W Potter, [e-mail]

References

Huber, D. E., & O'Reilly, R. C. (2003). Persistence and accommodation in short-term priming and other perceptual paradigms: Temporal segregation through synaptic depression. Cognitive Science, 27, 403-430.

Rieth, C. A., & Huber, D. E. (2017). Comparing different kinds of words and word-word relations to test an habituation model of priming. Cognitive Psychology, 95, 79-104. DOI: https://doi.org/10.1016/j.cogpsych.2017.04.002

rettopnivek/nROUSE documentation built on May 27, 2019, 5:55 a.m.