Deep adversarial neural decoding — mentioned by DanielleMolloy

Sun, 04 Jun 2017 18:43:00 GMT

This paper is highly exciting for anybody working on the neural code and so-called encoding models. Only few days ago there was a similar study reading faces from human brains by trying to construct a latent space: https://arxiv.org/abs/1705.07109 https://twitter.com/ccnlab/status/866548346751725568 (animation, over time more dimensions from this latent space (afaik PCA components) are added) Given the limitations of fMRI (we can not do single cell recordings in human brains) the results are not as accurate, but to my knowledge this is the best we can do in humans so far.

Paper and discussion history. A mention is not an endorsement.

Deep adversarial neural decoding — HN submission

Fri, 02 Jun 2017 14:17:12 GMT

Deep adversarial neural decoding

3 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Deep adversarial neural decoding · HackerPapers discussions

Deep adversarial neural decoding — mentioned by DanielleMolloy

Deep adversarial neural decoding — HN submission