5947
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 options, please tell me the relationships of all the listed entity pairs.Output format is "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
 Entity Pairs:  two-layer self-organizing neural network, -LRB- angular -RRB- motor commands; broadly-tuned -LRB- muscular -RRB- proprioceptive, two-layer self-organizing neural network; broadly-tuned -LRB- muscular -RRB- proprioceptive, -LRB- cartesian -RRB- visual information; -LRB- cartesian -RRB- visual information, two-layer self-organizing neural network 
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