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A neural population model for visual pattern detection
2013
Psychological review
Pattern detection is the bedrock of modern vision science. Nearly half a century ago, psychophysicists advocated a quantitative theoretical framework that connected visual pattern detection with its neurophysiological underpinnings. In this theory, neurons in primary visual cortex constitute linear and independent visual channels whose output is linked to choice behavior in detection tasks via simple read-out mechanisms. This model has proven remarkably successful in accounting for threshold
doi:10.1037/a0033136
pmid:23915083
fatcat:flubmlwntjbn3jcy6eboplmura