Estimating the influence of attention on population codes in human visual cortex using voxel-based tuning functions

Area of Science:

• Neuroscience
• Cognitive Science
• Perception

Background:

• Stable perceptual representations require pooling sensory neuron output to overcome noise.
• Selective attention is crucial for prioritizing behaviorally relevant stimuli in population codes.
• Limited neurophysiological methods hinder direct investigation of attention's role in shaping population responses.

Purpose of the Study:

• To investigate the role of attention in shaping population response profiles in the human visual cortex.
• To test the hypothesis that attention sharpens population responses and improves signal-to-noise ratio.
• To develop and apply a novel analysis approach using fMRI to assess attentional modulations on population codes.

Main Methods:

• Utilized functional magnetic resonance imaging (fMRI) in human participants.
• Derived orientation tuning functions for individual voxels in primary visual cortex.
• Employed a novel analysis to estimate feature-based attentional modulations on population response profiles.

Main Results:

• Demonstrated that selective attention systematically biases population response profiles.
• Showed that attended stimuli are preferentially represented over unattended stimuli.
• Provided a new method for characterizing feature-selective responses in human sensory cortices.

Conclusions:

• Behavioral goals, mediated by attention, shape population response profiles.
• Attention supports the formation of coherent perceptual representations by prioritizing relevant sensory information.
• The findings offer insights into the neural mechanisms underlying attention and perception.