Volume 93, Number 6, March 2011
|Number of page(s)||5|
|Section||Electromagnetism, Optics, Acoustics, Heat Transfer, Classical Mechanics, and Fluid Dynamics|
|Published online||17 March 2011|
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
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.