Neuronal sequence models for bayesian online inference

HIGHLIGHTS

  • who: Sascha Fru00f6lich from the Department of Psychology, Technische Universitu00e4t Dresden, Dresden, Germany University of Nottingham have published the Article: Neuronal Sequence Models for Bayesian Online Inference, in the Journal: (JOURNAL)
  • how: In this review paper the authors suggest that good generative models of the typical environment should generate that is expect sequences and that such a sequence-like representation of environmental dynamics is used to robustly perform tractable inference on spatiotemporally structured sensory data.
  • future: As another example a different study investigating singlecell recordings of neurons in the rat hippocampus found that . . .

     

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