Summary: weekly mtg 20160907 (Byron, Steve, Matt, me) - mobeets/nullSpaceControl GitHub Wiki
To discuss
- stats tests: tuning [?], mean/cov lower for cloud vs. hab [sign test? wilcoxon?]
- nul/row overlap between spikes/latents
Discussed
nul/row overlap: FA is a linear projection, but not an orthogonal one
- check out Byron's FA notes, 8 pts, exercise
- orthog projs are like (P'*P)^{-1}*P'
take svd of loading matrix
- use that U along with fa mean
- to just do orthogonal projection
minimal energetics hyps: do in latents (spikes in supplement)
- minimal firing point: orthogonal point
- svd on L from FA ->
- U'*(0 - mu) where mu is FA mean
why do we present hyps in FA?
- want to find the effects describing large changes in data
- pre-processing step
- de-noising step
- we need to compute errors in mean and errors in covariance
- 10d vs. 88d covariance errors
- easier to visualize
- a space that the monkeys can move around in during learning
- the null space in the same space that contains the mapping
tuning hyp test: anova or cosine fit
write shorter abstract for PNC talk, send out ASAP
- no results, make them curious
- maybe one sentence to hint at what we found
presenting
- maybe for learning hyps, maybe remove implementation page