For some reason, Figure 2 doesn't continue out beyond the few-training-samples regime. Therefore, I think we're left to assume that MothNet underperforms the other techniques in the many-samples regime. Is there something I'm missing?
Yet to read this paper but wondering if the authors a familiar with the work of Dasgupta et al. on fly olfactory model for locality sensitive hashing?<p><a href="https://www.biorxiv.org/content/biorxiv/early/2017/08/25/180471.full.pdf?%3Fcollection=" rel="nofollow">https://www.biorxiv.org/content/biorxiv/early/2017/08/25/180...</a><p>I have been contemplating the relationship between random projections and compressive sensing since reading it and curious to read this paper for any insights on compressive sensing.
This is absolutely brilliant. I have been looking for a way into an understanding of learning within biological neural nets. I dont suppose there is source code around?