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AllenNeuralDynamics / dynamic-foraging-task

Bonsai/Harp workflow for Dynamic Foraging with Python GUI for visualization and control
MIT License
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Set the randomness distribution separately for block and ITI/Delay #542

Open XX-Yin opened 3 months ago

XX-Yin commented 3 months ago

It's better to draw the block length from the uniform distribution and the ITI/delay from the exponential distribution. The current code sets the same randomness distribution for block length and ITI/delay.

alexpiet commented 3 months ago

Why set the block length from the uniform distribution?

XX-Yin commented 3 months ago

For uncoupled task: Yes For coupled task: It's truncated exponential distribution.

XX-Yin commented 3 months ago

To be more specific.

For uncoupled task: Block: uniform ITI/Delay: truncated exponential

For coupled task: Block: truncated exponential ITI/Delay: truncated exponential