BCore is a Behavior training library built originally for training rodents but is compatible with training any subject. It was built in MATLab originally but is now compatible with python.

• Plot compiled_record. Filter last 10000 trials.
• RunForReward trials
• Flip trial_pin on trial_start in do_trials
• ZMQ output
• Is session manager in protocol? Or in subject? Which spot makes the most sense?
• Force IP address for a given computer
• decide on license and execute
• make module pip installable
• configuration script
  • identify as standalone, client or server
  • save bcore.config to get_config_path
• add $BCOREPATH to path
• configuration setup for bserver and bclient
  • specify base path. See here
  • create .bcore in the basepath to contain relevant cofguration details for the installation
  • create bcore data paths as required See here
  • Split basic configure and configure server/client/standalone. That way we can use separate confiration for each as required
• How are heats implemented?
• How are project folders implemented? In subject?
• Trial data - how to operationalize saving previous data and current data: pandas adding records is super slow
• setting up paths in BCore
  • bcore.get_base_path: Where BCoreData folder is placed. Determined by configuration script. DONE March 17 2020
  • bcore.get_config_path: Always below the bcore code base in a folder called .bcore which will contain bcore.config. DONE March 17 2020
  • bcore.get_codebase_path: not sure what the use of this is
• need to update the inits, load_from_dict and save_to_dicts for DefaultMouse, DefaultRat, DefaultVirtual, and DefaultHuman
• How are stations initialized during trial time? parallel_port_connection/display initialization?
• find instances of 'data]' which is a typo
• 11182020 - How am I storing the Station config files?
• 11182020 - How would station know if it is a station?