Abstract

Attending to visual stimuli enhances the gain of those neurons in primate visual cortex that preferentially respond to the matching locations and features (on-target gain). Although this is well suited to enhance the neuronal representation of attended stimuli, it is nonoptimal under difficult discrimination conditions, as in the presence of similar distractors. In such cases, directing attention to neighboring neuronal populations (off-target gain) has been shown to be the most efficient strategy, but although such a strategic deployment of attention has been shown behaviorally, its underlying neural mechanisms are unknown. Here, we investigated how attention affects the population responses of neurons in the middle temporal (MT) visual area of rhesus monkeys to bidirectional movement inside the neurons’ receptive field (RF). The monkeys were trained to focus their attention onto the fixation spot or to detect a direction or speed change in one of the motion directions (the “target”), ignoring the distractor motion. Population activity profiles were determined by systematically varying the patterns’ directions while maintaining a constant angle between them. As expected, the response profiles show a peak for each of the 2 motion directions. Switching spatial attention from the fixation spot into the RF enhanced the peak representing the attended stimulus and suppressed the distractor representation. Importantly, the population data show a direction-dependent attentional modulation that does not peak at the target feature but rather along the slopes of the activity profile representing the target direction. Our results show that attentional gains are strategically deployed to optimize the discriminability of target stimuli, in line with an optimal gain mechanism proposed by Navalpakkam and Itti.

Highlights

  • In a natural environment, the visual system is typically challenged with cluttered input, containing a variety of stimuli that need to be segregated for further processing

  • Using computational modeling based on the feature-similarity gain model [18], we show that feature-based attention (FBA) can be allocated in a highly task-specific manner, optimized to best enhance the discriminability of the target stimulus, in line with an optimal off-target gain mechanism [7]

  • In order to investigate how attention affects the responses of middle temporal (MT) neuronal populations to complex random dot pattern (RDP), we compared responses to physically identical stimuli in the receptive field (RF) of 113 single MT neurons when the animals directed their attention either to the fixation spot or one of the moving patterns

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Summary

Introduction

The visual system is typically challenged with cluttered input, containing a variety of stimuli that need to be segregated for further processing. Theoretical, psychophysical, and imaging studies [7,8,9,10] suggest that in those cases neuronal populations tuned away from the attended stimulus are the best targets for enhancement because they can better discriminate neighboring features (off-target gain). Such a behaviorally advantageous modulation of activity gains has not yet been shown at the single neuron level

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