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Related Experiment Video

Updated: Feb 4, 2026

Using Pharmacological Manipulation and High-precision Radio Telemetry to Study the Spatial Cognition in Free-ranging Animals
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Perceiving set mean and range: Automaticity and precision.

Noam Khayat1, Shaul Hochstein1

  • 1Life Sciences Institute and Edmond and Lily Safra Center (ELSC) for Brain Research, Hebrew University, Jerusalem, Israel.

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|September 30, 2018
PubMed
Summary
This summary is machine-generated.

We automatically perceive visual sets by encoding their average (mean) and boundaries (range). This efficient summary statistics approach aids rapid decision-making in complex environments.

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Area of Science:

  • Cognitive Psychology
  • Visual Perception
  • Computational Neuroscience

Background:

  • The visual system uses summary statistics to manage information overload.
  • Ensemble representations, like the mean of features, are formed for groups of objects.
  • Previous research indicates summarizing features like size and orientation to their mean is efficient.

Purpose of the Study:

  • To investigate how humans perceive sets of visual stimuli.
  • To determine if participants automatically encode set statistics beyond individual item memory.
  • To examine the influence of set mean and range on perceptual judgments.

Main Methods:

  • Rapid serial visual presentation (RSVP) sequences were used to present stimuli.
  • Participants identified a target stimulus from a pair (member vs. nonmember) after each sequence.
  • Stimuli included set members, nonmembers, and sometimes the set mean or out-of-range items.

Main Results:

  • Participants showed a preference for stimuli near the set mean (mean effect).
  • Out-of-range stimuli were more easily rejected (range effect).
  • Performance correlated with stimulus proximity to the mean and distance from set boundaries.

Conclusions:

  • The human visual system automatically encodes both the mean and range of stimulus sets.
  • This automatic encoding aids in efficient perceptual decision-making and overcomes capacity limitations.
  • Ensemble representations are a fundamental mechanism for processing complex visual environments.