Summary: weekly mtg 20161019 (Byron, Steve, Matt, me) - mobeets/nullSpaceControl GitHub Wiki

Discussed

  • SSS: looks good; use 8 directions to include nelson
  • need consistent/objective metric for behavioral asymptote
  • find paper by Diedrichsen

for next week:

  • fit with new inclusion metric: does it change results?
  • writing: fit more reference-material perspectives into Intro
  • writing: add in SSS to the end: "because most activity might be null in both mappings, we don't want our results dominated by this activity. so we focus on this subspace"
  • look into submitting to cosyne (finish wed before friday before deadline for sharing with scabby)

progress metric:

  1. progress under last 100 trials of intuitive through perturbation
  2. (non-overlapping?) variance in perturbation
  3. threshold variance (some multiple of the variance under intuitive?)
  4. pick section with best mean, compare it (t-test) to intuitive activity, then

To discuss

SSS

screen shot 2016-10-19 at 10 28 15 am

Nelson's data

Minimum energy as factors, with noise

Spike version:

  1. Find spikes with minimum norm such that latent kinematics are satisfied.
  2. Add gaussian spiking noise using spikeCountStd.
  3. Convert to latents (will satisfy latent row space values by design.)

Latent version:

  1. Find latents meeting cursor velocity while minimizing norm of null space value.
  2. Subject to min and max total factor activity (using held out data).
  3. Spiking noise: generate under factor analysis model (i.e., gaussian noise), then infer latents.

(And then, could set to nan anything that now has invalid spiking values, but I don't.)