Tyler C W, Hardage L, Miller R T
Smith-Kettlewell Eye Research Institute, San Francisco, CA 94115, USA.
Spat Vis. 1995;9(1):79-100. doi: 10.1163/156856895x00124.
Symmetry detection was investigated for static and dynamic noise targets consisting of a field of approximately 0.3 million random dots on which was imposed a bilateral symmetry. The minimum duration for detection was 40 ms for static and 80 ms for dynamic symmetry. The exponents of the psychometric functions averaged about 4 for both static and dynamic tasks, as opposed to the value of 1 expected for such suprathreshold tasks, implying that there is some neural mechanism performing full temporal integration of the symmetry information up to durations of a second or more. Static symmetry was perceivable when information around the symmetry axis was masked up to 3 deg away from the symmetry axis, revealing extrafoveal symmetry detection in approximately 300 ms exposures. The static data were fitted with a model consisting of three mechanisms with Gaussian spatial profiles and mutual inhibition (two mechanisms were sufficient for the dynamic data). The profile of the widest mechanism was 20 times wider for static than for dynamic symmetry.
针对由约30万个随机点组成的场并施加了双侧对称性的静态和动态噪声目标进行了对称性检测。静态对称性检测的最短持续时间为40毫秒,动态对称性检测为80毫秒。静态和动态任务的心理测量函数的指数平均约为4,与此类超阈值任务预期的1值相反,这意味着存在某种神经机制对对称性信息进行长达一秒或更长时间的完整时间整合。当对称轴周围的信息在距对称轴3度范围内被遮挡时,仍可感知到静态对称性,这表明在约300毫秒的曝光中存在中央凹外对称性检测。静态数据用一个由具有高斯空间分布和相互抑制的三种机制组成的模型进行拟合(动态数据两种机制就足够了)。最宽机制的分布对于静态对称性比动态对称性宽20倍。