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- W13336411 abstract "A recurrent network is proposed which can be used as a manipulable body model to solve different kinematic tasks as the inverse kinematic problem, the direct kinematic problem or any mixed problem. The model may be used for planning a movement, or ,,thinking , by being uncoupled from the motor output, or it may be used for direct motor control. The network is based on a new type of neuronal network called MMC net which is similar to but shows some essential differences to the Hopfield tlpe network. These are (l) no symmetrical rveights are necessary in the MMC net. (2) Furthermore, no clipping functions are necessary which allows for real valued outputs. (3) No limited number of discrete attractors. but an infinite number of attractors ll'hich form a continuum are possible in the MMC network." @default.
- W13336411 created "2016-06-24" @default.
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- W13336411 date "1998-01-01" @default.
- W13336411 modified "2023-09-26" @default.
- W13336411 title "MMC - a recurrent neural network which can be used as manipulable body model" @default.
- W13336411 doi "https://doi.org/10.7551/mitpress/3119.003.0059" @default.
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