Summary: weekly mtg 20170125 (Byron, Steve, Matt, me) - mobeets/nullSpaceControl GitHub Wiki

our hyps are just inspired by muscle hyps

  • that's why it's hard to connect to previous work

  • so be careful about "so this is different than what was seen with muscles"

    • especially since people think it's the main point/motivation of our paper
    • need to word any statements like this carefully, because it is helpful

  • rename hyps

  • energy is tricky; need to say "when we say energy here, we mean..."

    • if we consider only this population of cells, it could be that more spikes require more energy because they need ATP
    • on the other hand, if they're part of a network, it could be that there's a baseline state, and it's deviations from that that require energy

discussion:

  • maybe people should look for evidence that output-null activity is a function of the repertoire in muscles
  • relate hyps to uncontrolled and habitual

titles

  • "Constraints on behaviorally irrelevant neural activity"
  • "Constraints on neural activity in dimensions that don't matter"
  • "Neural strategies for resolving redundancy"
  • "Cortical activity in the null space relies on the natural motor repertoire"
  • [see photo]

orderings:

  • Unc-emp after Unc-uni; "a refined version of Unc-uni"
  • Then after they understand Unc-emp, we constrain it even further to get the distribution from times with the same movement
  • introduce Unc-emp before talking about two mappings
    • just say, to get the empirical distribution we use an earlier mapping, and then talk about it later
  • can present all hyps with second mapping
    • then later can say "well it turns out we had the monkey use another mapping before this, and we can use activity from this session as our empirical set"
  • in supp, we have fits in reverse
  • for discussion: maybe null-space selections evolve over long-term, but here we just had a monkey learn a new mapping, so maybe his strategies haven't evolved yet
    • also, note that when fitting in reverse, habitual doesn't make as much mechanistic sense, but it still does well
      • if we saw it break down going backwards, that might actually be more evidence for the monkey actually selecting habitually
      • this could go in caption

Fig 1:

  • A/B: should BCI output and movement be in boxes? maybe boxes aren't necessary? think about it
  • B: BCI image looks weird
    • maybe remove?
  • B: put square around cursor/targ for monitor
  • C: put hist along dotted line to correspond more to D
  • C: label tick v_t
  • C: remove max lines
  • D: make hist look more like gauss, or something data-like
  • D: put lots of smaller dots so the curve is actually true

Fig 2:

  • want 3 res figs: min/bas, unu/une, hab/cld
  • possibly have zoom lines to show inset is top-left col panel
  • maybe just panels A and B (no D-I labels)
  • bigger fonts
  • maybe go back to just wedges on L column

Fig 3:

  • unc-emp: write in green "estimated from previous mapping"

Errors hists fig (should be Fig 5):

  • show avg across monkeys
  • add all monkeys in supp

could have other fig that depending on combo of potent line and kidney bean, you might have variance expanding or not

To dos:

  • title
  • renaming hyps