3217
The model is a two-layer self-organizing neural network which combines broadly-tuned -LRB- muscular -RRB- proprioceptive and -LRB- cartesian -RRB- visual information to calculate -LRB- angular -RRB- motor commands for the initial part of the movement of a two-link arm .
 used for: two-layer self-organizing neural network, -LRB- angular -RRB- motor commands; used for: broadly-tuned -LRB- muscular -RRB- proprioceptive, two-layer self-organizing neural network; conjunction: broadly-tuned -LRB- muscular -RRB- proprioceptive, -LRB- cartesian -RRB- visual information; used for: -LRB- cartesian -RRB- visual information, two-layer self-organizing neural network
Given a phrase that describes the relationship between two words, extract the words and the lexical relationship between them. The output format should be "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
Answer:
 used for: two-layer self-organizing neural network, -LRB- angular -RRB- motor commands; used for: broadly-tuned -LRB- muscular -RRB- proprioceptive, two-layer self-organizing neural network; conjunction: broadly-tuned -LRB- muscular -RRB- proprioceptive, -LRB- cartesian -RRB- visual information; used for: -LRB- cartesian -RRB- visual information, two-layer self-organizing neural network