Regularity is not a key factor for encoding repetition in rapid image streams

Human observers readily detect targets and repetitions in streams of rapidly presented visual stimuli. It seems intuitive that regularly spaced repeating items should be easier to detect than irregularly spaced ones, since regularity adds predictability and in addition has ecological relevance. Here, we show that this is not necessarily the case, and we point out the intrinsic difficulty in addressing this question. We presented long RSVP streams of never-before-seen natural images containing repetition sequences; an image appearing six times interleaved by one or more non-repeating distractors, and asked participants to detect the repetitions and to afterwards identify the repeated images. We found that the ability to detect and memorize repeated images was preserved even with irregular sequences, and conclude that temporal regularity is not a key factor for detection and memory for repeating images in RSVP streams. These findings have implications for models of repetition processing.

[1]  Jia Deng,et al.  A large-scale hierarchical image database , 2009, CVPR 2009.

[2]  M. Potter,et al.  Pictorial and conceptual representation of glimpsed pictures. , 2004, Journal of experimental psychology. Human perception and performance.

[3]  J. Enns,et al.  The attentional blink: Resource depletion or temporary loss of control? , 2005, Psychological research.

[4]  D. Broadbent,et al.  From detection to identification: Response to multiple targets in rapid serial visual presentation , 1987, Perception & psychophysics.

[5]  K L Shapiro,et al.  Temporary suppression of visual processing in an RSVP task: an attentional blink? . , 1992, Journal of experimental psychology. Human perception and performance.

[6]  N. Kanwisher Repetition blindness: Type recognition without token individuation , 1987, Cognition.

[7]  Y. Saalmann,et al.  Rhythmic Sampling within and between Objects despite Sustained Attention at a Cued Location , 2013, Current Biology.

[8]  John P. John,et al.  Assessing Neurocognition via Gamified Experimental Logic: A Novel Approach to Simultaneous Acquisition of Multiple ERPs , 2016, Front. Neurosci..

[9]  Li Fei-Fei,et al.  ImageNet: A large-scale hierarchical image database , 2009, CVPR.

[10]  Damien Querlioz,et al.  Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity , 2012, Neural Networks.

[11]  Rufin VanRullen,et al.  Attention searches nonuniformly in space and in time , 2015, Proceedings of the National Academy of Sciences.

[12]  Daniel Pressnitzer,et al.  Rapid Formation of Robust Auditory Memories: Insights from Noise , 2010, Neuron.

[13]  R. VanRullen,et al.  The Phase of Ongoing EEG Oscillations Predicts Visual Perception , 2009, The Journal of Neuroscience.

[14]  R. VanRullen,et al.  Conscious updating is a rhythmic process , 2012, Proceedings of the National Academy of Sciences.

[15]  S. Thorpe,et al.  Investigating implicit statistical learning mechanisms through contextual cueing , 2015, Trends in Cognitive Sciences.

[16]  C. Koch,et al.  The duration of the attentional blink in natural scenes depends on stimulus category , 2007, Vision Research.

[17]  M. Potter Short-term conceptual memory for pictures. , 1976, Journal of experimental psychology. Human learning and memory.

[18]  Ewald Neumann,et al.  Identity and semantic negative priming in rapid serial visual presentation streams , 2017, Attention, Perception, & Psychophysics.

[19]  Bruno Rossion,et al.  Category-selective human brain processes elicited in fast periodic visual stimulation streams are immune to temporal predictability , 2017, Neuropsychologia.

[20]  R. VanRullen,et al.  Spontaneous EEG oscillations reveal periodic sampling of visual attention , 2010, Proceedings of the National Academy of Sciences.

[21]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[22]  D. Bavelier Repetition blindness between visually different items: the case of pictures and words , 1994, Cognition.

[23]  Timothée Masquelier,et al.  STDP Allows Close-to-Optimal Spatiotemporal Spike Pattern Detection by Single Coincidence Detector Neurons , 2016, Neuroscience.

[24]  Rufin van Rullen,et al.  Theta Oscillations Modulate Attentional Search Performance Periodically , 2015, Journal of Cognitive Neuroscience.

[25]  M C Potter,et al.  Two attentional deficits in serial target search: the visual attentional blink and an amodal task-switch deficit. , 1998, Journal of experimental psychology. Learning, memory, and cognition.

[26]  I. Biederman,et al.  Accurate identification but no priming and chance recognition memory for pictures in RSVP sequences , 2000 .

[27]  Michael D. Dodd,et al.  The influence of attention, learning, and motivation on visual search. , 2012, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[28]  Jason M. Gold,et al.  Memory and incidental learning for visual frozen noise sequences , 2014, Vision Research.

[29]  S. Andersen,et al.  Measuring target detection performance in paradigms with high event rates , 2013, Clinical Neurophysiology.

[30]  L. Abbott,et al.  Competitive Hebbian learning through spike-timing-dependent synaptic plasticity , 2000, Nature Neuroscience.

[31]  Rufin VanRullen,et al.  The phase of ongoing EEG oscillations predicts the amplitude of peri-saccadic mislocalization , 2016, Scientific Reports.

[32]  Claudia Felser,et al.  Berry phase and band structure analysis of the Weyl semimetal NbP , 2016, Scientific Reports.

[33]  M. Potter,et al.  Recognition memory for briefly presented pictures: the time course of rapid forgetting. , 2002, Journal of experimental psychology. Human perception and performance.

[34]  Jan W. H. Schnupp,et al.  Rhythm Facilitates the Detection of Repeating Sound Patterns , 2016, Front. Neurosci..

[35]  Nicholas B Turk-Browne,et al.  Statistical learning and its consequences. , 2012, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[36]  R. VanRullen Perceptual Cycles , 2016, Trends in Cognitive Sciences.

[37]  Philip T Quinlan,et al.  The processing of images of biological threats in visual short-term memory , 2017, Proceedings of the Royal Society B: Biological Sciences.

[38]  M. Cecchini,et al.  Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease , 2016, Scientific Reports.

[39]  M. Potter,et al.  Recognition memory for a rapid sequence of pictures. , 1969, Journal of experimental psychology.

[40]  S. Thorpe,et al.  Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains , 2008, PloS one.