Ultra-fast detection of salient contours through horizontal connections in the primary visual cortex
CNLS and T-5, Theoretical Division, Los Alamos National Laboratory - Los Alamos, NM 87545, USA
2 P-21, Physics, Los Alamos National Laboratory - Los Alamos, NM 87545, USA
Accepted: 18 February 2011
Salient features instantly attract visual attention to their location and are crucial for object recognition. Experiments in ultra-fast visual perception have shown that object recognition can be surprisingly accurate given only ∼20 ms of observation. Such short times exclude neural dynamics of top-down feedback and require fast mechanisms of low-level feature detection. We derive a neural model of the primary visual cortex with physiologically parameterized horizontal connections that reinforce salient features, and apply it to detect salient contours on ultra-fast time scales. Model performance qualitatively matches experimental results for human perception of contours, suggesting rapid neural mechanisms involving feedforward horizontal connections can be used to distinguish low-level objects.
PACS: 42.66.Si – Psychophysics of vision, visual perception; binocular vision / 87.18.Sn – Neural networks and synaptic communication / 07.05.Pj – Image processing
© EPLA, 2011