Combining Embodied Models and Empirical Research for Understanding the Development of Shared Attention

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ICDL '02 Proceedings of the 2nd International Conference on Development and Learning
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2002

Citing 0
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Abstract

A sensory mapping method, called "Staggered Hierarchical Mapping (SHM)," and its developmental algorithm are described in this paper.SHM is a model motivated by human early visual pathways including processing performedby the retina, Lateral Geniculate Nucleus (LGN) and the primary visual cortex. The work reported here concerns not only the design of such a series of processorsbut also their autonomous development.A new Incremental Principal Component Analysis (IPCA) method is used to automatically develop orientation sensitive and other needed filters.A set of staggered receptive fields model the pattern of positioning of processing cells.From sequentially sensed video frames, the proposed algorithm develops a hierarchy of filters, whose outputs are uncorrelatedwithin each layer, but with increasing scale of receptive fields from low to high layers.To study the completeness of the representation generated by the SHM, we experimentally show that the response produced at any layer is sufficientto reconstruct the corresponding "retinal" image to a great degree. In our experiment, we show that SHM can be used to perform local analysis.