Summary: weekly mtg 20170524 (Byron, Steve, Matt, Aaron, Emily, me) - mobeets/nullSpaceControl GitHub Wiki
In this meeting I only have like 30 mins so we don't really discuss much.
- reschedule meeting?
- discussion outline
- neural tuning changes
Questions we could ask:
Train a network to control the Perturbation decoder using the Intuitive repertoire
- How good can cursor control be while still generating from the repertoire? (e.g., for OMPs)
- Can we predict the behavioral asymptote?
- Can we predict cursor trajectories?
- If not, what additional constraints are necessary? (e.g., dynamics, sensory delay, etc.)
Train two networks to control the Intuitive and Perturbation decoders using the Intuitive repertoire
- Can we predict tuning changes?
To do:
- remind Steve and others of outlining meeting tomorrow at 4:30pm
- send everyone email about best-mean problem
- send Emily and Matt manuscript
GAN idea:
- train the gen/disc networks to match intuitive activity
- then, with the gen network frozen, train an association network where the output_dim is the latent_dim, which selects when to select which neural activity.
- i.e., let g = gen, f = association, h = decoder
- then given goal velocity x, you want to optimize h(g(f(x))) with the loss being something about the cursor's error through the decoder
- or maybe this can even help us optimize over the sequence of x's?
- and then you can just swap out the outputs and retrain f for different decoders