Object representations are biased toward each other through statistical learning

ABSTRACT The visual system is remarkably efficient at extracting regularities from the environment through statistical learning. While such extraction has extensive consequences on cognition, it is unclear how statistical learning shapes the representations of the individual objects that comprise the regularities. Here we examine how statistical learning alters object representations. In three experiments, participants were exposed to either random arrays containing objects in a random order, or structured arrays containing object pairs where two objects appeared next to each other in fixed spatial or temporal configurations. After exposure, one object in each pair was briefly presented and participants judged the location or the orientation of the object without seeing the other object in the pair. We found that when an object reliably appeared next to another object in space, it was judged as being closer to the other object in space even though the other object was never presented (Experiments 1 and 2). Likewise, when an object reliably preceded another object in time, its orientation was biased toward the orientation of the other object even though the other object was never presented (Experiment 3). These results demonstrated that statistical learning fundamentally shapes how individual objects are represented in visual memory, by biasing the representation of one object toward its co-occurring partner. Importantly, participants in all experiments were not explicitly aware of the regularities. Thus, the bias in object representations was implicit. The current study reveals a novel impact of statistical learning on object representation: spatially co-occurring objects are represented as being closer in space, and temporally co-occurring objects are represented as having more similar features.

[1]  B. Scholl,et al.  The Automaticity of Visual Statistical Learning Statistical Learning , 2005 .

[2]  Edward Awh,et al.  Statistical learning induces discrete shifts in the allocation of working memory resources. , 2010, Journal of experimental psychology. Human perception and performance.

[3]  Judith E. Fan,et al.  Internal attention to features in visual short-term memory guides object learning , 2013, Cognition.

[4]  R N Aslin,et al.  Statistical Learning by 8-Month-Old Infants , 1996, Science.

[5]  J. Plumert,et al.  How Do Opportunities to View Objects Together in Time Influence Children's Memory for Location? , 2009 .

[6]  R. Jacobs,et al.  A probabilistic clustering theory of the organization of visual short-term memory. , 2013, Psychological review.

[7]  T. Parrish,et al.  Aversive Learning Enhances Perceptual and Cortical Discrimination of Indiscriminable Odor Cues , 2008, Science.

[8]  Marvin M. Chun,et al.  Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness , 2009, Journal of Cognitive Neuroscience.

[9]  H. Bülthoff,et al.  Effects of temporal association on recognition memory , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[10]  P. Maquet,et al.  Orienting Attention to Locations in Perceptual Versus Mental Representations , 2004, Journal of Cognitive Neuroscience.

[11]  Jiaying Zhao,et al.  Statistical regularities reduce perceived numerosity , 2016, Cognition.

[12]  Jodie M Plumert,et al.  Delay-induced bias in children's memory for location. , 2002, Child development.

[13]  B. Scholl,et al.  Multidimensional Visual Statistical Learning Visual Statistical Learning , 2005 .

[14]  Ru Qi Yu,et al.  The persistence of the attentional bias to regularities in a changing environment , 2015, Attention, perception & psychophysics.

[15]  P. Perruchet,et al.  Implicit learning and statistical learning: one phenomenon, two approaches , 2006, Trends in Cognitive Sciences.

[16]  Marcia K. Johnson,et al.  Implicit Perceptual Anticipation Triggered by Statistical Learning , 2010, The Journal of Neuroscience.

[17]  Timothy F. Brady,et al.  Hierarchical Encoding in Visual Working Memory , 2010, Psychological science.

[18]  Morten H. Christiansen,et al.  Modality-constrained statistical learning of tactile, visual, and auditory sequences. , 2005, Journal of experimental psychology. Learning, memory, and cognition.

[19]  Aaron R. Seitz,et al.  The effect of statistical learning on internal stimulus representations: Predictable items are enhanced even when not predicted , 2013, Cognition.

[20]  A. Treisman,et al.  Statistical processing: computing the average size in perceptual groups , 2005, Vision Research.

[21]  Jodie M Plumert,et al.  Experiencing nearby locations together in time: the role of spatiotemporal contiguity in children's memory for location. , 2002, Journal of experimental child psychology.

[22]  Daniel B. Vatterott,et al.  Visual statistical learning can drive object-based attentional selection , 2014, Attention, perception & psychophysics.

[23]  Laura J Batterink,et al.  Rapid Statistical Learning Supporting Word Extraction From Continuous Speech , 2017, Psychological science.

[24]  R. Menzel,et al.  Associative learning modifies neural representations of odors in the insect brain , 1999, Nature Neuroscience.

[25]  N. Turk-Browne,et al.  Mutual Interference Between Statistical Summary Perception and Statistical Learning , 2011, Psychological science.

[26]  A. Oliva,et al.  The Representation of Simple Ensemble Visual Features Outside the Focus of Attention , 2008, Psychological science.

[27]  L. Hedges,et al.  Categories and particulars: prototype effects in estimating spatial location. , 1991, Psychological review.

[28]  D. Shohamy,et al.  Preference by Association: How Memory Mechanisms in the Hippocampus Bias Decisions , 2012, Science.

[29]  Elizabeth K. Johnson,et al.  Statistical learning of tone sequences by human infants and adults , 1999, Cognition.

[30]  Jiaying Zhao,et al.  Statistical regularities guide the spatial scale of attention , 2017, Attention, perception & psychophysics.

[31]  Lauren V. Kustner,et al.  Shaping of Object Representations in the Human Medial Temporal Lobe Based on Temporal Regularities , 2012, Current Biology.

[32]  T. McNamara.  Mental representations of spatial relations , 1986, Cognitive Psychology.

[33]  Isabel Gauthier,et al.  A visual short-term memory advantage for objects of expertise. , 2009, Journal of experimental psychology. Human perception and performance.

[34]  J. Werker,et al.  Infants listen for more phonetic detail in speech perception than in word-learning tasks , 1997, Nature.

[35]  Jane E Raymond,et al.  Learned Predictiveness Speeds Visual Processing , 2012, Psychological science.

[36]  R. Aslin,et al.  PSYCHOLOGICAL SCIENCE Research Article UNSUPERVISED STATISTICAL LEARNING OF HIGHER-ORDER SPATIAL STRUCTURES FROM VISUAL SCENES , 2022 .

[37]  N. Turk-Browne,et al.  Attention Is Spontaneously Biased Toward Regularities , 2013, Psychological science.

[38]  A. Nobre,et al.  Attentional modulation of object representations in working memory. , 2007, Cerebral cortex.

[39]  Jodie M Plumert,et al.  Does information about what things are influence children's memory for where things are? , 2003, Developmental psychology.

[40]  T. McNamara,et al.  Spatial and temporal contributions to the structure of spatial memory. , 1992, Journal of experimental psychology. Learning, memory, and cognition.

[41]  Timothy F. Brady,et al.  Compression in visual working memory: using statistical regularities to form more efficient memory representations. , 2009, Journal of experimental psychology. General.

[42]  Julia L. Evans,et al.  Can Infants Map Meaning to Newly Segmented Words? , 2007, Psychological science.