Summary: weekly mtg 20170419 (Byron, Steve, Aaron, Emily, me) - mobeets/nullSpaceControl GitHub Wiki

Progress gradient: at any point in time, per target, how should a neuron's firing rates evolve over time, based on these progress gradients?

  • might be bad for quick, single day learning
  • but maybe do it for factors, with changes in the learning rate that vary by facto...?
  • subproblem of this is predicting which factors can learn

Tuning changes

  • concern about latent/spike conversion
  • subproblem: we don't know why PDs cluster (this will probably come up, so we'll probably have to find an explanation for it)
    • Aaron says we could probably do some quick experiments
    • might have to do with how we train the animals to use the BCI?
  • maybe a long-term WMP that is crafted to pressure the PDs to uncluster

Predicting asymptotic performance

  • need simulations maybe to see how well reassociation could do
  • Emily mentions maybe doing long-term WMPs to see if eventually performance returns to baseline

Alan's running experiments, so is Nick; maybe sit in on some?

  • get list of things I need to do from Emily

How is the monkey learning? Error-based, or reward-based?

Looking at washout: Is it consistent with both mappings?

  • Seems quick to at least take a stab at it
  • Byron mentions as motivation that initially in a washout session you would see a dip in behavior before monkey learns to return to the intuitive mapping; if there is no dip, this might be a good session to look at
  • Matt seemed to find with Steve's data that some sessions showed this, others did not
  • Look at washout neural activity, feed it through both mappings (use IME), and compare the distance between the decoded velocities, and compare that to if you use intuitive activity
    • AND: look at washout data through WMP, and intuitive data through WMP
  • Aaron says maybe we wouldn't see this effect with single-day OMPs? Might be something to look for. Or even multi-day OMPs?
  • Steve says there's a Shadmehr paper that suggests if he experiences an error in the washout mapping, he might revert to something that would work with the WMP