Accession Number:

ADA459484

Title:

On the Difficulty of Feature-Based Attentional Modulations in Visual Object Recognition: A Modeling Study

Descriptive Note:

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE LAB

Report Date:

2004-01-01

Pagination or Media Count:

40.0

Abstract:

Numerous psychophysical experiments have shown an important role for attentional modulations in vision. Behaviorally, allocation of attention can improve performance in object detection and recognition tasks. At the neural level, attention increases firing rates of neurons in visual cortex whose preferred stimulus is currently attended to. However, it is not yet known how these two phenomena are linked, i.e., how the visual system could be tuned in a task-dependent fashion to improve task performance. To answer this question, we performed simulations with the HMAX model of object recognition in cortex 45. We modulated firing rates of model neurons in accordance with experimental results about effects of featurebased attention on single neurons and measured changes in the models performance in a variety of object recognition tasks. It turned out that recognition performance could only be improved under very limited circumstances and that attentional influences on the process of object recognition per se tend to display a lack of specificity or raise false alarm rates. These observations lead us to postulate a new role for the observed attention-related neural response modulations.

Subject Categories:

  • Psychology
  • Anatomy and Physiology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE