Skip to content

chongguo/AttentionalModulationTask

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 

Repository files navigation

AttentionalModulationTask

Fall 2013 PIN rotation with David Cox

Experimental Design

Sequence of events expressed during a single trial: head poke/no poke —> display target (A/B) or distractor (O) —> animal lick/no lick —>reward/neutral/punishment. Trials are embeded in sessions. There is one session per day, one hour per session. We vary the amount of reward associated with A or B across sessions, while maintaining the total amount of reward delivered for A or B constant overtime.

TRAINING

Phase 0: Manually train the animal to poke its head out of the behavior box and lick the water spout mounted on a 10ml syringe. Two sessions seems sufficient.

Phase I: A/B/O are shown with equal probabilities. Equal amount of reward is delivered for A/B when animal licks. Licking on O triggers the punishment loop. As a function of average performance, the target presentation probability for A/B decreases from 0.5 to 0.3.

Phase II: Targets are shown with lower probability (0.3) than distractors (0.7). Equal amount of reward is delivered for A/B when animal licks. Licking on O triggers the punishment loop. As a function of average performance, distractor contrast is increased from 0 to 1.

Phase III: Same paradigm as Phase II with the exception that distractor is now at full contrast and reward amount is being gradually decreased from 0.05 to 0.03 as a function of performance.

Phase IV: Targets and distractors are shown in full contrast with different probabilities (0.3 versus 0.7). On any given session, a fixed, asymmetrical amount of reward is delivered for A/B when animal licks. Licking on O still triggers the punishment loop. Reward amount is decided at the start of each session, a random number reward_rand between -0.02 and +0.02 is drawn. We then set reward_A = 0.03 + reward_rand and reward_B = 0.03 - reward_rand. The magnitude of reward_rand can be regarded as a proxy for how much the animal should pay attention to the dimension along which A and B varies.

STATE DIAGRAM

LINK

About

Fall 2013 PIN rotation with David Cox. Training rodents on a visual object recognition task.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published