DDM_with_confidence_slow_fullconfRT: DDM trials generation with multiple post-decision...

In pledenmat/myPackage: Contains utility functions used in multiple projects

DDM trials generation with multiple post-decision accumulation time

Description

This function generates trials using the Drift Diffusion Model. Additional evidence is accumulated for a fixed time after the decision boundary has been reached. Note: here, decision boundaries are a and -a and starting point is equal to a*z.

Usage

DDM_with_confidence_slow_fullconfRT(
  v,
  a,
  ter,
  z,
  ntrials,
  s,
  dt,
  t2distribution,
  postdriftmod
)

Arguments

v	Drift rate
a	Decision boundary, evidence at t = 0 is equal to a*z. Decision boundaries are a and -a
ter	Non-decision time
z	Starting point bias in evidence. For unbiased DDM, use z = 0
ntrials	Number of DDM trials to generate. Must be a multiple of length(t2time) so that all confidence RT trials are repeated the same number of times
s	Scaling parameter
dt	Time step size
t2distribution	Vector containing the whole confidence RT distribution
postdriftmod	V-ratio. If equal to 1, post-decision drift rate is equal to decision drift rate

pledenmat/myPackage documentation built on July 25, 2022, 3:50 p.m.