Authors：Takemura, N., Inui, T., and Fukui, T 

Title：A Neural network model for development of reaching and pointing based on the interaction of forward and inverse transformations. 

Journal(書誌情報）：Developmental Science 

doi：10.1111/desc.12565. 


Abstract： 
Pointing is one of the communicative actions that infants acquire during  their first year of life. Based on a hypothesis that early pointing is  triggered by emergent reaching behavior toward objects placed at out-of-reach distances, we proposed a neural network model that acquires reaching without explicit representation of ‘targets’. The proposed model controls a two-joint arm in a horizontal plane, and it learns a loop of internal forward and inverse transformations; the former predicts the visual feedback of hand position and the latter generates motor commands from the visual input through random generation  of the motor commands. In the proposed model, the motor output and visual input were represented by broadly tuned neural units. Even though  explicit ‘targets’ were not presented during learning, the simulation successfully generated reaching toward visually presented objects at within-reach and out-of-reach distances. 

著者Contact先の email：meitz100[at]fork.ocn.ne.jp（[at]を@に変更してください。）


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