Perceptual history propagates down to early levels of sensory analysis
Guido Marco Cicchini, Alessandro Benedetto, David C. Burr
Abstract
One function of perceptual systems is to construct and maintain a reliable representation of the environment. A useful strategy intrinsic to modern “Bayesian” theories of perception1Rao R.P. Ballard D.H. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.Nat. Neurosci. 1999; 2: 79-87Crossref PubMed Scopus (2671) Google Scholar, 2Mamassian P. Landy M. Maloney L.T. Bayesian modelling of visual perception.in: Rao R.P.N. Olshausen B.A. Lewicki M.S. Probabilistic Models of the Brain: Perception and Neural Function. MIT, 2002: 13-36Google Scholar, 3Kersten D. Yuille A. Bayesian models of object perception.Curr. Opin. Neurobiol. 2003; 13: 150-158Crossref PubMed Scopus (205) Google Scholar, 4Kersten D. Mamassian P. Yuille A. Object perception as Bayesian inference.Annu. Rev. Psychol. 2004; 55: 271-304Crossref PubMed Scopus (813) Google Scholar, 5Knill D.C. Pouget A. The Bayesian brain: the role of uncertainty in neural coding and computation.Trends Neurosci. 2004; 27: 712-719Abstract Full Text Full Text PDF PubMed Scopus (1350) Google Scholar, 6Friston K. The free-energy principle: a rough guide to the brain?.Trends Cogn. Sci. 2009; 13: 293-301Abstract Full Text Full Text PDF PubMed Scopus (925) Google Scholar is to take advantage of the relative stability of the input and use perceptual history (priors) to predict current perception. This strategy is efficient1Rao R.P. Ballard D.H. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.Nat. Neurosci. 1999; 2: 79-87Crossref PubMed Scopus (2671) Google Scholar, 2Mamassian P. Landy M. Maloney L.T. Bayesian modelling of visual perception.in: Rao R.P.N. Olshausen B.A. Lewicki M.S. Probabilistic Models of the Brain: Perception and Neural Function. MIT, 2002: 13-36Google Scholar, 3Kersten D. Yuille A. Bayesian models of object perception.Curr. Opin. Neurobiol. 2003; 13: 150-158Crossref PubMed Scopus (205) Google Scholar, 4Kersten D. Mamassian P. Yuille A. Object perception as Bayesian inference.Annu. Rev. Psychol. 2004; 55: 271-304Crossref PubMed Scopus (813) Google Scholar, 5Knill D.C. Pouget A. The Bayesian brain: the role of uncertainty in neural coding and computation.Trends Neurosci. 2004; 27: 712-719Abstract Full Text Full Text PDF PubMed Scopus (1350) Google Scholar, 6Friston K. The free-energy principle: a rough guide to the brain?.Trends Cogn. Sci. 2009; 13: 293-301Abstract Full Text Full Text PDF PubMed Scopus (925) Google Scholar, 7Cicchini G.M. Mikellidou K. Burr D.C. The functional role of serial dependence.Proc. Biol. Sci. 2018; 285: 20181722Crossref PubMed Scopus (65) Google Scholar but can lead to stimuli being biased toward perceptual history, clearly revealed in a phenomenon known as serial dependence.8Cicchini G.M. Anobile G. Burr D.C. Compressive mapping of number to space reflects dynamic encoding mechanisms, not static logarithmic transform.Proc. Natl. Acad. Sci. USA. 2014; 111: 7867-7872Crossref PubMed Scopus (147) Google Scholar, 9Clifford C.W.G. The tilt illusion: phenomenology and functional implications.Vision Res. 2014; 104: 3-11Crossref PubMed Scopus (53) Google Scholar, 10Fischer J. Whitney D. Serial dependence in visual perception.Nat. Neurosci. 2014; 17: 738-743Crossref PubMed Scopus (341) Google Scholar, 11Liberman A. Fischer J. Whitney D. Serial dependence in the perception of faces.Curr. Biol. 2014; 24: 2569-2574Abstract Full Text Full Text PDF PubMed Scopus (146) Google Scholar, 12Cicchini G.M. Kristjánsson Á. Guest editorial: on the possibility of a unifying framework for serial dependencies.i-Perception. 2015; 6 (2041669515614148)Crossref Google Scholar, 13Taubert J. Van der Burg E. Alais D. Love at second sight: sequential dependence of facial attractiveness in an on-line dating paradigm.Sci. Rep. 2016; 6: 22740Crossref PubMed Scopus (57) Google Scholar, 14Kiyonaga A. Scimeca J.M. Bliss D.P. Whitney D. Serial dependence across perception, attention, and memory.Trends Cogn. Sci. 2017; 21: 493-497Abstract Full Text Full Text PDF PubMed Scopus (99) Google Scholar However, it is still unclear whether serial dependence biases sensory encoding or only perceptual decisions.15Cicchini G.M. Mikellidou K. Burr D. Serial dependencies act directly on perception.J. Vis. 2017; 17: 6Crossref PubMed Scopus (84) Google Scholar,16Fritsche M. Mostert P. de Lange F.P. Opposite effects of recent history on perception and decision.Curr. Biol. 2017; 27: 590-595Abstract Full Text Full Text PDF PubMed Scopus (160) Google Scholar We leveraged on the “surround tilt illusion”—where tilted flanking stimuli strongly bias perceived orientation—to measure its influence on the pattern of serial dependence, which is typically maximal for similar orientations of past and present stimuli.7Cicchini G.M. Mikellidou K. Burr D.C. The functional role of serial dependence.Proc. Biol. Sci. 2018; 285: 20181722Crossref PubMed Scopus (65) Google Scholar,10Fischer J. Whitney D. Serial dependence in visual perception.Nat. Neurosci. 2014; 17: 738-743Crossref PubMed Scopus (341) Google Scholar Maximal serial dependence for a neutral stimulus preceded by an illusory one occurred when the perceived, not the physical, orientations of the two stimuli matched, suggesting that the priors biasing current perception incorporate the effect of the illusion. However, maximal serial dependence of illusory stimuli induced by neutral stimuli occurred when their physical (not perceived) orientations were matched, suggesting that priors interact with incoming sensory signals before they are biased by flanking stimuli. The evidence suggests that priors are high-level constructs incorporating contextual information, which interact directly with early sensory signals, not with highly processed perceptual representations.