search

liang-bo96 / Eelbrain

eelbrain.readthedocs.io
Other
0 stars 0 forks source link

User Case 1- Load and Validate Neural Data-TBD #6

Open liang-bo96 opened 1 month ago

liang-bo96 commented 1 month ago

Actor: Researcher Goal: Load and validate a neural dataset for visualization Preconditions: • User has a data file in the supported format（.fif）. • The system is running inside a Jupyter Notebook with Eelbrain available.

Basic Flow:

  1. User put data in data_sample folder
  2. System reads the file.
  3. System detects any format inconsistencies or missing data.
  4. If valid, the data is passed to the visualization pipeline.

Postconditions: • Valid data is available for plotting. • Invalid data triggers error messages or warnings.

smiths commented 4 weeks ago

@liang-bo96 you should ask @christianbrodbeck to review this use case. Does it have enough information for implementation? For instance, "detecting inconsistencies or missing data" seems ambiguous to me. What are the potential inconsistencies? What happens if you detect an inconsistency, or missing data. If there is any inconsistency or missing data, does the process stop? What is the error message?

liang-bo96 commented 4 weeks ago
  1. System detects any format inconsistencies or missing data.
  2. If valid, the data is passed to the visualization pipeline.