nROUSE_demonstration: Demonstration of the nROUSE model.

In rettopnivek/nROUSE: Functions for the nROUSE model

Description

Generates a plot of the activation at the highest level of the neural network (i.e. semantic-lexical) for the target and foil representations under different prime types and an inputted prime duration.

Usage

nROUSE_demonstration(primeTypes = c("Target", "Foil", "Neither", "Both"),
  design = c(50, 450, 500), prm = NULL)

Arguments

primeTypes	a character vector with up to 4 types of prime: 'Target', 'Foil', 'Neither', or 'Both'.
design	a vector with the duration (in ms) of the target flash, the target mask, and the choice options.
prm	an optional named vector for the parameters of the nROUSE model, where... Fe = the feedback scalar. N = The noise multiplier. L = The constant leak current. D = The synaptic depletion rate. R = The replenishment rate. I = The inhibition constant. Th = The noise multiplier. Ta = The temporal attention parameter. SV = The visual integration rate. SO = The orthographic integration rate. SS = The semantic integration rate.

Details

The user will receive a prompt to input a prime duration. The function will then generate a plot showing the time course of activation for the target/foil representations for the set of prime types. The predicted accuracies and the difference distribution from which these accuracies are derived are shown on the right.

Examples

## Not run: 
# Default
nROUSE_demonstration()

# Fewer prime types
pt = c( 'Target', 'Foil' )
nROUSE_demonstration(primeTypes = pt)

# Different timing for target stimulus flash and subsequent mask
nROUSE_demonstration(design=c(84,416,500))

# Different parameter values (Must be named)
prm = c( I = .5, Ta = .8, N = .025 )
nROUSE_demonstration(prm=prm)

## End(Not run)

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