Neural Comput - A self-organized artificial neural network architecture for sensory integration with applications to letter-phoneme integration.

Tópicos

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Resumo

The multimodal self-organizing network (MMSON), an artificial neural network architecture carrying out sensory integration, is presented here. The architecture is designed using neurophysiological findings and imaging studies that pertain to sensory integration and consists of interconnected lattices of artificial neurons. In this artificial neural architecture, the degree of recognition of stimuli, that is, the perceived reliability of stimuli in the various subnetworks, is included in the computation. The MMSON's behavior is compared to aspects of brain function that deal with sensory integration. According to human behavioral studies, integration of signals from sensory receptors of different modalities enhances perception of objects and events and also reduces time to detection. In neocortex, integration takes place in bimodal and multimodal association areas and result, not only in feedback-mediated enhanced unimodal perception and shortened reaction time, but also in robust bimodal or multimodal percepts. Simulation data from the presented artificial neural network architecture show that it replicates these important psychological and neuroscientific characteristics of sensory integration.

Resumo Limpo

multimod selforgan network mmson artifici neural network architectur carri sensori integr present architectur design use neurophysiolog find imag studi pertain sensori integr consist interconnect lattic artifici neuron artifici neural architectur degre recognit stimuli perceiv reliabl stimuli various subnetwork includ comput mmson behavior compar aspect brain function deal sensori integr accord human behavior studi integr signal sensori receptor differ modal enhanc percept object event also reduc time detect neocortex integr take place bimod multimod associ area result feedbackmedi enhanc unimod percept shorten reaction time also robust bimod multimod percept simul data present artifici neural network architectur show replic import psycholog neuroscientif characterist sensori integr

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