mechanism to manipulate persistence of stimulus-task weights (hebbian learning)

nicksexton / taskswitching

My PhD work on interactive activation models of human task switching. Implementation in C with interfaces in Python and R. Published in Sexton & Cooper (2017), Cognitive Psychology

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mechanism to manipulate persistence of stimulus-task weights (hebbian learning) #10

Closed nicksexton closed 10 years ago

nicksexton commented 10 years ago

need to implement way of modulating this trial by trial (ie, map it to a trial parameter). Required options: 1) persistent 2) persist for block 3) persist for next trial only (default) 4) off

nicksexton commented 10 years ago

hebbian learning now has an option to be persistent for a whole block, currently option 4 (FOREVER) not implemented as model is re-inited for each block, need to change this.

nicksexton commented 10 years ago

option 4 (FOREVER) probably non-essential, gonna comment it so that it is clear it is not implemented, and close this issue