anti-bias algorithm with TrialManager

themachine

Hi Josh,

when using TrialManager, how can I integrate an anti-bias algorithm into my protocol?

When using RunStateMachine it's possible to use something similar to the TotalRewardDisplay:

if _~isnan(BpodSystem.Data.RawEvents.Trial{currentTrial}.States.LeftReward(1))
TotalLeftRewards = TotalLeftRewards +1;

But with TrialManager I can't use this, because the RawEvents only get transmitted at the end of the trial so it doesn't already load the changed "TotalLeftRewards" for the next trial (but only for the one after that).

How can I use currentTrialEvents = getCurrentEvents(TriggerStates) to update a variable to make an anti-bias algorithm with TrialManager in which the amount of times a state happened are counted and change the following trial?

Josh

Hi machine,

Each time you call getCurrentEvents, MATLAB will wait until the system enters one of the states listed in the input args. getCurrentEvents returns a preliminary event struct which you can use to determine how to setup the next trial.

If the idea is that the subject can visit the same outcome state multiple times and the last time it leaves the outcome state you have the info you need to compute the next trial's state machine, you'll have to add a state following the outcome state and use that as the input to getCurrentEvents. Make sure the system remains in that state (or subsequent state(s) in the trial) for long enough for the PC to do its inter-trial tasks.

-Josh