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Information-optimal local features automatically attract covert and overt attention.

Serena Castellotti1, Anna Montagnini2, Maria Michela Del Viva3

  • 1Department of Neurofarba, University of Florence, Florence, Italy.

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Summary

Optimal features in visual scenes automatically capture attention in fast vision. These information-rich elements guide both covert and overt attention, demonstrating saliency based on information maximization.

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Area of Science:

  • Visual perception
  • Cognitive neuroscience
  • Computational vision

Background:

  • Local spatial properties in visual scenes can automatically capture attention.
  • Optimal information-carrying features, identified by a maximum-entropy model, were previously found to be perceived as more salient when explicitly queried.

Purpose of the Study:

  • To investigate the implicit saliency of these optimal features in fast vision.
  • To determine if optimal features automatically attract attention without explicit instruction.

Main Methods:

  • Covert-attention experiment measuring luminance-contrast thresholds for orientation discrimination of peripheral Gabor stimuli.
  • Gaze-orienting experiment analyzing saccade latency and direction towards peripheral targets.
  • Utilized peripheral cues with varying saliency, based on a predictive model, preceding target presentation.

Main Results:

  • Reduced contrast thresholds and saccadic latencies for valid trials (target on the same side as the optimal cue).
  • Increased direction errors and saccadic latencies for invalid trials (target on the opposite side).
  • Optimal features elicited more anticipatory saccades, even under luminance-controlled conditions.

Conclusions:

  • Optimal features identified by information maximization criteria automatically attract both covert and overt attention in fast vision.
  • Visual saliency is influenced by information content and inherent computational constraints.
  • Findings support a model where attention is implicitly guided by features that maximize information transmission.