Perceptual multistability as Markov Chain Monte Carlo inference
While many perceptual and cognitive phenomena are well described in terms of Bayesian inference, the necessary computations are intractable at the scale of real-world tasks, and it remains unclear how the human mind approximates Bayesian computations algorithmically. We explore the proposal that for...
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| Format: | Article |
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Neural Information Processing Systems Foundation
2017
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| Online Access: | http://hdl.handle.net/1721.1/112788 https://orcid.org/0000-0002-1925-2035 |