Paz, LucianoInsabato, AndreaZylberberg, ArielDeco, GustavoSigman, Mariano2016-07-182016-07-182016Paz L, Insabato A, Zylberberg A, Deco G, Sigman M. Confidence through consensus: a neural mechanism for uncertainty monitoring. Scientific Reports. 2016;6:21830. DOI: 10.1038/srep218302045-2322http://hdl.handle.net/10230/27076Models that integrate sensory evidence to a threshold can explain task accuracy, response times and/nconfidence, yet it is still unclear how confidence is encoded in the brain. Classic models assume that/nconfidence is encoded in some form of balance between the evidence integrated in favor and against/nthe selected option. However, recent experiments that measure the sensory evidence’s influence on/nchoice and confidence contradict these classic models. We propose that the decision is taken by many/nloosely coupled modules each of which represent a stochastic sample of the sensory evidence integral./nConfidence is then encoded in the dispersion between modules. We show that our proposal can account/nfor the well established relations between confidence, and stimuli discriminability and reaction times,/nas well as the fluctuations influence on choice and confidence.application/pdfengThis work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1038/srep21830info:eu-repo/semantics/openAccess