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- W3202740931 abstract "A neural network architecture combining an adaptive sensory-motor mapping and an online visual error correction (VEC) mechanism is proposed. The sensory-motor network (SMN) acquires a consistent intermodal mapping through primary circular reactions. During performance, SMN generates feed-forward control commands to the motor networks. This feed-forward command is augmented by VEC which is a feed-back control mechanism. The feedback allows the system to correct immediately during performance, errors that may arise from various sources including intermodal inconsistencies. This dual feed-forward feedback control enables the network to maintain the accuracy of its performance while inconsistencies are resolved through long-term adaptation. We present simulation results that illustrate the long-term learning as well as immediate correction capabilities of the network." @default.
- W3202740931 created "2021-10-11" @default.
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- W3202740931 date "2021-09-09" @default.
- W3202740931 modified "2023-10-05" @default.
- W3202740931 title "Visually Guided Motor Control: Adaptive Sensorimotor Mapping with On-line Visual-Error Correction" @default.
- W3202740931 doi "https://doi.org/10.4324/9781315784076-24" @default.
- W3202740931 hasPublicationYear "2021" @default.
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