Summary: weekly mtg 20170201 (Byron, Steve, Matt, me) - mobeets/nullSpaceControl GitHub Wiki

Fig. 1

  • A,B: make neuron boxes bigger to fit size of funnel
  • C,D: emphasize that this is a conceptual figure, and not data
  • C: v_t is misleading
    • remove the t
    • relabel "output-potent" as cursor velocity?
      • but how to talk about it in the text?
      • in methods, distinguish between what we're calling "velocity" in the text
        • note that o-p is the "push," which has units of velocity
      • just don't worry about the distinction in the main text
    • label different velocity values
  • C: remove boxed v_t
  • C: go back to the trace version
    • but deemphasize the trace so it doesn't pop out
    • make it gray, no shading, etc.
  • D: try to make it an inset or something?
    • label 'v=3' or whatever it happens to be in C

Fig. 2

  • B,C: highlight in gray in both panels, e.g., so they're connected without inset lines
  • A,B,C: make columns more distinct
  • B: add pie wedge to the left
    • put it under the text so the degrees are a title for the wedge
      • then in C we can remove the degree text labels
    • output-null and cursor dir labels on separate lines
    • also still need to fix placement of text labels

Fig. 3

  • Unc-uni: the purple better have SOME support where the data does
    • e.g., see panel B, where the data is non-zero but the hist is not
  • same for Unc-emp: as you go down the rows (for dim. 2, say), the distributions change slightly
    • confirm that removing constraints on max-firing fixes this!
    • also make sure this is explained in the text (not captions)
  • Unc-emp: makes Byron think of what Constant-cloud is doing
    • need to emphasize in text that this distribution doesn't change with the output-potent value
    • modulo firing rate constraints
    • but then this isn't exactly true because the dists won't be the same after the firing rate constraints
    • maybe emphasize that this is the marginal empirical distribution
      • and cloud is the conditional empirical distribution
    • "the marginal distribution along the dotted axis subject to limits on minimum and maximum firing rate"

Fig. 4

  • Hab-cor green squares are outside of where repertoire would have been
    • add black label of "v=3" to black line, gray label of "v=3"
  • maybe add repertoire back in
    • make sure some corrected points fall outside of where cloud is
  • Hab-cor cartoon: take out single points (looks like discrete predictions), replace with unfilled/filled rectangles

Fig. 5

  • previously, solid green rect means uniform distribution
    • but in cloud it's not uniform!

TEXT:

  • could explain MinFiring first all the way
    • then just add one sentence saying we considered an alternate version with baseline firing rate
    • then label A,B,C,D,E,F
  • every time you introduce a new hypothesis, anticipate confusion with previous hyps and explain the difference
    • e.g., distinguish hab from unc-emp

ANALYSES:

  • add in pruning with new metrics and Nelson data, see how well it does
  • what if cloud predicted distribution directly (e.g., not timepoint-by-timepoint)? would SSS figs be better? would other results be better?
  • check distribution of number of points in each bin