title: Spatial statistics and attentional dynamics in scene viewing.
abstract: In humans and in foveated animals visual acuity is highly concentrated at the center of gaze, so that choosing where to look next is an important example of online, rapid decision-making. Computational neuroscientists have developed biologically-inspired models of visual attention, termed saliency maps, which successfully predict where people fixate on average. Using point process theory for spatial statistics, we show that scanpaths contain, however, important statistical structure, such as spatial clustering on top of distributions of gaze positions. Here, we develop a dynamical model of saccadic selection that accurately predicts the distribution of gaze positions as well as spatial clustering along individual scanpaths. Our model relies on activation dynamics via spatially-limited (foveated) access to saliency information, and, second, a leaky memory process controlling the re-inspection of target regions. This theoretical framework models a form of context-dependent decision-making, linking neural dynamics of attention to behavioral gaze data.
authors.affiliation: University of Potsdam, Germany Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany.
authors.forename: Ralf
authors.initials: R
authors.lastname: Engbert
authors.affiliation: University of Potsdam, Germany Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany.
authors.forename: Hans A
authors.initials: HA
authors.lastname: Trukenbrod
authors.affiliation: Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany University of Geneva, Geneva, Switzerland.
authors.forename: Simon
authors.initials: S
authors.lastname: Barthelmé
authors.affiliation: Eberhard Karls University of Tübingen, Germany Bernstein Center for Computational Neuroscience Tübingen, Germany Max Planck Institute for Intelligent Systems, Tübingen, Germany.
authors.forename: Felix A
authors.initials: FA
authors.lastname: Wichmann
mesh_terms: D000293:Adolescent; D000328:Adult; D001288:Attention / Q000502:physiology*; D053483:Eye Movement Measurements; D005260:Female; D005403:Fixation, Ocular / Q000502:physiology*; D006801:Humans; D008297:Male; D010364:Pattern Recognition, Visual / Q000502:physiology*; D012438:Saccades / Q000502:physiology*; D055815:Young Adult
keywords: attention; eye movements; modeling; saccades; scene perception; spatial statistics