Unifying low-level mechanistic and high-level Bayesian explanations of bistable perceptions: neuronal adaptation for cortical inference

Abstract

Ambiguous images such as the Necker cube evoke bistable perceptions in observers, where the conscious percept alternates between the two possible image interpretations. One classic explanation is that mechanisms like neuronal adaptation underlie the switching phenomenon [1]. On the other hand, one possible high-level explanation [2] is that in performing… (More)
DOI: 10.1186/1471-2202-12-S1-P320

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Cite this paper

@inproceedings{Reichert2011UnifyingLM, title={Unifying low-level mechanistic and high-level Bayesian explanations of bistable perceptions: neuronal adaptation for cortical inference}, author={David P. Reichert and Peggy Seri{\`e}s and Amos J. Storkey}, booktitle={BMC Neuroscience}, year={2011} }