Sparse coding and decorrelation in primary visual cortex during natural vision
Sparse coding and decorrelation in primary visual cortex during natural vision
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DOI：
10.1126/science.287.5456.1273
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发表时间：
2000-02-18
期刊：
影响因子：
56.9
通讯作者：
Gallant, JL
中科院分区：
文献类型：
--
作者：
Vinje, WE;Gallant, JL
理论研究表明，初级视觉皮层（V1 区）使用稀疏代码来有效地表示自然场景。通过记录猕猴在自由观看自然场景和模拟自然视觉条件下的清醒行为时的 V1 神经元来研究这个问题。非经典感受野的刺激增加了单个 V1 神经元的选择性和稀疏性，增加了群体响应分布的稀疏性，并且强烈地去相关神经元对的响应。这些效应是由于非经典感受野对经典感受野的兴奋性和抑制性调制造成的，并且并不严格依赖于刺激的时空结构。在自然视觉过程中，经典和非经典感受野共同发挥作用，形成视觉世界的稀疏表示。这种稀疏代码对于早期视觉和高级视觉处理来说可能具有计算效率。
Theoretical studies suggest that primary visual cortex (area V1) uses a sparse code to efficiently represent natural scenes. This issue was investigated by recording from V1 neurons in awake behaving macaques during both free viewing of natural scenes and conditions simulating natural vision. Stimulation of the nonclassical receptive field increases the selectivity and sparseness of individual V1 neurons, increases the sparseness of the population response distribution, and strongly decorrelates the responses of neuron pairs. These effects are due to both excitatory and suppressive modulation of the classical receptive field by the nonclassical receptive field and do not depend critically on the spatiotemporal structure of the stimuli. During natural vision, the classical and nonclassical receptive fields function together to form a sparse representation of the visual world. This sparse code may be computationally efficient for both early vision and higher visual processing.