Supèr Hans, Romeo August
Department of Basic Psychology, Faculty of Psychology and Institute for Brain, Cognition, and Behavior, University of Barcelona, Barcelona 08035, Spain, and Catalan Institute for Research and Advanced Studies, Barcelona 08010, Spain
Neural Comput. 2014 Nov;26(11):2419-40. doi: 10.1162/NECO_a_00658. Epub 2014 Aug 22.
Models for perceptual grouping and contour integration are presented. Connection weights depend on distances and angle differences, while neurons evolve following a spiking dynamics (Izhikevich's model in most of the considered cases). Although the studied synapses depend on discrete three-valued functions, simulations display the emergence of approximate synchrony, making these cognitive tasks possible. Noise effects are examined, and the possibility of achieving similar results with a different neuron model is discussed.
本文提出了用于感知分组和轮廓整合的模型。连接权重取决于距离和角度差异，而神经元则遵循脉冲动力学进行演化（在大多数考虑的情况下采用艾兹海默模型）。尽管所研究的突触依赖于离散的三值函数，但模拟显示出近似同步的出现，使得这些认知任务成为可能。研究了噪声效应，并讨论了使用不同神经元模型获得类似结果的可能性。
