A simple rule to describe interactions between visual categories

Marlene Poncet* (Corresponding Author), Michele Fabre-Thorpe, Ramakrishna Chakravarthi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
7 Downloads (Pure)

Abstract

Humans can rapidly categorise visual objects when presented in isolation. However, in everyday life we encounter multiple objects at the same time. Far less is known about how simultaneously active object representations interact. We examined such interactions by asking participants to categorise a target object at the basic (Experiment 1) or the superordinate (Experiment 2) level
while the representation of another object was still active. We found that the ‘prime’ object strongly modulated the response to the target implying that the prime’s category was rapidly and automatically accessed, influencing subsequent categorical processing. Using drift-diffusion modelling we show that a prime, whose category is different from that of the target, interferes with target processing primarily during the evidence accumulation stage. This suggests that the state of category-processing neurons is altered by an active representation and this modifies the processing of other categories. Interestingly, the strength of interference increases with the similarity between the distractor and the target category. Considering these results and previous studies, we propose a general principle that category interactions are determined by the distance from a distractor’s representation to the target’s task-relevant categorical boundary. We argue that this principle arises from the specific architectural organisation of categories in the brain.
Original languageEnglish
Pages (from-to)4639-4666
Number of pages28
JournalEuropean Journal of Neuroscience
Volume52
Issue number12
Early online date20 Jul 2020
DOIs
Publication statusPublished - Dec 2020

Bibliographical note

Acknowledgements:
We thank Prof Thomas Palmeri for helpful comments on a previous version of the manuscript.
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Peer Review
The peer review history for this article is available at https://publons.com/publon/10.1111/ejn.14890.

DATA AVAILABILITY STATEMENT
The programmes used to run the two experiments and the collected data are available on the OSF website (OSF.IO/ASB4E). A substantial proportion of the stimuli were sourced from the copyright protected Corel database and thus cannot be shared on OSF.

Keywords

  • Visual categorisation
  • category interactions
  • Drift-Diffusion model
  • priming
  • representation similarity
  • DECISION
  • CONFIDENCE-INTERVALS
  • PICTURE-WORD INTERFERENCE
  • SEMANTIC INTERFERENCE
  • TIME-COURSE
  • INFERIOR TEMPORAL CORTEX
  • PREFRONTAL CORTEX
  • drift diffusion model
  • OBJECT REPRESENTATIONS
  • REPETITION
  • visual categorisation
  • REPRESENTATIONAL ARCHITECTURE

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