Data from the hidden target navigation task with simultaneous fiber photometry recordings of dopamine

<br>README:<br><br>There is an svMice__ structure for each experimental group, with group identification in the name of the structure (“svMice5” contains all animals trained with 5 uL rewards, “svMiceStim” contains mice that received VTA-DA optostim at time of reward collection, etc). Each svMice__ structure has 3 fields for each mouse in the group:<br>sv: the main datasetname: for internal record-keepingrewSize: the size of reward, in microliters, that the mice received during training<br>Within the .sv field, data are further broken up according to whether they are continuous (the ‘signal’ field) or discrete timestamps (the ‘events’ field)<br>*signal*X: x location within the arenaY: y location within the arenanac: nucleus accumbent core DA activity, measured with fiber photometry of dLight 1.3 activity<br>*events*Each field is a list of timestamps within the continuous data at which specific events occurredrewTrigger: animal entered reward trigger area, immediately triggering reward delivery back at the reward portrewCollect: animal re-entered the “reward collection area” defined as a small semi-circle surrounding the reward port locationlick: individual lick detected at the reward portfirstLick: the first lick after a reward was delivered, thus marking the beginning of reward consumption (thus each ‘firstLick’ event will be duplicated in the more general ‘lick’ event list)<br>*Example*For mouse#10 within the standard (5 uL) reward size group, the X position of the mouse at the delivery of the 9th reward on session 5 would be given by:svMice5(10).sv(5).signal.X( svMice5(10).sv(5).events.rewTrigger(9) )