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What is Self-Organizing Neural Model for Sensorimotor Primitives about?

This research article proposes a self-organizing neural model that connects the development of ventral and dorsal visual streams to the emergence of pre-symbolic communication in infants. The model utilizes a recurrent neural network with parametric biases to represent sensorimotor primitives and predict object movements based on visual stimuli. Through experiments with robots, the study demonstrates how this model can facilitate the understanding of language development and sensorimotor integration in cogn

Author

Jeremy

Language

EN