This paper proposes a new method for the design, through simulated evolution, of biologically inspired receptive fields in feedforward neural networks (NNs). The method is intended to enhance pattern recognition performance by creating new neural architectures specifically tuned for a particular pattern recognition problem. It proposes a combined neural architecture composed of two networks in ...

The receptive fields of motor neurons to a hind leg were mapped by recording intracellularly from their cell bodies or from the muscle fibers they innervate while stimulating mechanoreceptors on the surface of that leg. Each motor neuron is affected by a specific array of receptors that make up its receptive field. Boundaries along the anteroposterior or dorsoventral axes of the leg divide the ...

Nearly 40 years ago, in the pages of this journal, Hubel and Wiesel provided the first description of receptive fields in the primary visual cortex of higher mammals. They defined two classes of cortical cells, "simple" and "complex", based on neural responses to simple visual stimuli. The notion of a hierarchy of receptive fields, where increasingly intricate receptive fields are constructed f...

although many researches have investigated the benefits of music in sport, few researches have studied the effect of music on movement recall. thus, this study aimed to identify the effect of motivational music on information recall during the performance of a wrestling skill sequence. 24 male athletes (mean age 21.6±0.9 yr, height 176.4±6.1 cm and weight 67.5±8.4) were trained in 30 skills of ...

Problem definition: There is a concerted effort across multiple academic disciplines to understand the recall decision-making process. Specifically, what steps does manufacturer take following product defect discovery and resulting in decision? This has often been limited case studies within particular manufacturer, largely due absence of consistent comparable data firms. Methodology/results: p...

Extracting buildings and roads from remote sensing images is very important in the area of land cover monitoring, which great help to urban planning. Currently, a deep learning method used by majority building road extraction algorithms. However, for existing semantic segmentation, it has limitation on receptive field high-resolution images, means that can not show long-distance scene well duri...

Recent studies of children's tool innovation have revealed that there is variation in children's success in middle-childhood. In two individual differences studies, we sought to identify personal characteristics that might predict success on an innovation task. In Study 1, we found that although measures of divergent thinking were related to each other they did not predict innovation success. I...

PURPOSE The purpose of this study was to examine the longitudinal predictive relationships among variables that may contribute to poor phonological awareness skills in preschool-age children with speech-sound disorders. METHOD Forty-seven children with speech-sound disorders were assessed during the spring of their prekindergarten year and again at the end of their kindergarten year. Hierarch...