Posted by on Sep 10, 2019 in news |

Our paper with Peyman Golshani and Pierre-Oliver Polack on representational untangling in V1 is out at eLife.

The paper explores the idea that simplest form of nonlinearity that is implemented by the firing threshold contributes to linear decodability. Interestingly, linear responses of a population of V1 simple cells fail to provide a code that is linearly decodable when there is uncertainty about nuisance variables, variables that are not directly decoded.

Full reference:
Merse E Gáspár, Pierre-Olivier Polack, Peyman Golshani, Máté Lengyel, Gergő Orbán. Representational untangling by the firing rate nonlinearity in V1 simple cells. eLife 2019;8:e43625 DOI: 10.7554/eLife.43625