da5nsy

@da5nsy

Joined on Nov 21, 2019

  • the common denomintaor is Heidi Heidi and I met through podcastsing - I interviewed her 2023 - padabon, conference rse heidi came up with the idea of digital research network my idea was that podcasting could be used not only as entertainment but as education been experimenting with bitesize, software sustainability institute companion podcast, UCL, rse python course not to replace the classroom but to augment classroom immerse themselves in material in different forms, different learning techniques profited diff podcasts, gave me pointers. As a signposting I thought it worked very well.
     Like  Bookmark
  • After the previous session (Tues. 2022/08/03) where we didn't get a particularly clear scan (because of the issue with the chair not fitting in the sled) we wanted to have another shot at doing an electrode-in-place scan, 1. to make sure that our targeting procedure is working, 2. to make sure that we can do a confirmatory scan after e-phys We used the same grid hole that we have used multiple times previously, with the goal of targetting MT. We used a new plastic guide tube E-phs Hardware We used a microfil guide tube 29mm long (below the top of the grid) to drive the electrode into the brain. This guide tube was expected to penetrate ~2mm into the cerebral cortex. We used a tungsten electrode. This time a thicker electrode than the previous time (250$\mu$m cross section)
     Like  Bookmark
  • Kurt Code for separate analysis steps stored in separate github repos (preprocessing, analyses, paper, presentations). All of these binary folders are stored in "bin" folder. Data is divided into "raw" (should never be modified) and "derivatives" (e.g., preprocessed data, analysis output) folders. During data collection, we keep a human-readable document for notes about data quality (also on github). During preprocessing, I transfer the key to a notes to a "notes" column in a tsv file. The .tsv has other columns pointing to the various raw and reprocessed data files (tracking the various transformations applied to the data). I find it a nice blend of reproducibility, flexibility and automaticity. (I can easily find files used in a particular analysis and link to human readable notes. The tsv is also machine readable). I haven't (yet) found the paper I mentioned in lab meeting. A similar organizational scheme is described here: https://data.library.arizona.edu/data-management/best-practices/data-project-organization. I avoid file formats that might be difficult to read in the future (docx xlxs, .mat, .pkl), and favor simple text files (.txt., .md, .csv, .tsv). Danny
     Like  Bookmark
  • Decision tree Does the monkey sense the microstim as different? Yes On microstim trials: Random* Learn that he should guess
     Like  Bookmark