DNMS task #744

fredlanore · 2024-11-28T11:10:39Z

describe the task and/or link to a publication that implements the task and describes it in the methods paper. A flowchart would be useful.
create the trials table for the task: this is the pre-generated table that will be used to determine the stimulus parameters
create the state machine for the task. See IBLRIG's main state machine (compare get_state_machine_trial() in base_choice_world.py)
implement the pre-cue stimulus by sending OSC commands to Bonsai
implement the double stimulus in Bonsai

Trial table fields:

precue_orientation
precue_contrast
precue_delay
delay_time
stimulus_position: this is the side of the correct queue on the double stimulus display

NB: the wrong stimulus has always the opposite orientation and position as the correct stimulus

non-exhaustive (so far) list of variables to define before each session

rough outline of the future task structure implementation of delay and precue presentation

addition of precue and delay epochs to the structure of the task; implementation of variable/fixed delay time

works with the last update of task.py

fredlanore and others added 2 commits November 28, 2024 12:09

Create task.py

8d2adda

Create task_parameters.yaml

b29c808

non-exhaustive (so far) list of variables to define before each session

fredlanore marked this pull request as ready for review November 29, 2024 20:03

moko-loko added 3 commits December 5, 2024 17:15

updates for task.py

68bc059

rough outline of the future task structure implementation of delay and precue presentation

Update task_parameters.yaml

adf97de

Update task.py

3136a9b

bimac self-assigned this Jan 6, 2025

moko-loko added 2 commits January 10, 2025 16:20

Update task.py

4d0d66c

addition of precue and delay epochs to the structure of the task; implementation of variable/fixed delay time

Update task_parameters.yaml

ec2042c

works with the last update of task.py

bimac self-requested a review January 13, 2025 09:21

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