A Neurodynamic Model of Feature-Based Spatial Selection

Frontiers in Psychology

Mateja Marić¹ 

关键词: boolean map;    feature-based attention;    lateral inhibition;    neural network;    winner-take-all;   

DOI  :  10.3389/fpsyg.2018.00417

学科分类：心理学（综合）

来源: Frontiers

【 摘 要 】

Huang and Pashler (2007) suggested that feature-based attention creates a special form of spatial representation, which is termed a Boolean map. It partitions the visual scene into two distinct and complementary regions: selected and not selected. Here, we developed a model of a recurrent competitive network that is capable of state-dependent computation. It selects multiple winning locations based on a joint top-down cue. We augmented a model of the WTA circuit that is based on linear-threshold units with two computational elements: dendritic non-linearity that acts on the excitatory units and activity-dependent modulation of synaptic transmission between excitatory and inhibitory units. Computer simulations showed that the proposed model could create a Boolean map in response to a featured cue and elaborate it using the logical operations of intersection and union. In addition, it was shown that in the absence of top-down guidance, the model is sensitive to bottom-up cues such as saliency and abrupt visual onset.

【 授权许可】

CC BY