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We model the autonomous development of brain-inspired circuits through two modalities—video stream and action stream that are synchronized in time. We assume that such multimodal streams are available to a baby through inborn reflexes, self-supervision, and caretaker’s supervision, when the baby interacts with the real world. By autonomous development, we mean that not only that the internal (inside...
Where-What Networks (WWNs) is a series of developmental networks for the recognition and attention of complex visual scenes. One of the most critical challenges of autonomous development is task non-specificity, namely, the network is meant to learn a variety of open-ended task skills without pre-defined tasks. Then how does a brain-like network develop skills for object relation that can generalize...
The Where-What Network 3 (WWN-3) is an artificial developmental network modeled after visual cortical pathways, for the purpose of attention and recognition in the presence of complex natural backgrounds. It is general-purpose and not pre-determined to detect a certain type of stimulus. It is a learning network, which develops its weights from images using a supervised paradigm and a local Hebbian...
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