Randomization

Randomization is an important part of a stimulus. If our scientific question is not related to the dependency of epochs to each other but is related to epochs that are considered independent (e.g. like stripes moving in different directions), we should use randomization to eliminate any possible bias that might occur due to the sequence of epoch presentations.

There are currently 4 conditions for randomization defined by an integer (defined in the helper.py function):

Integer	Condition
0	No randomization
1	Randomize with background epoch (defined as epoch 1) always present
2	Randomize all epochs
3	No randomization with background epoch (defined as epoch 1) always present