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. 2013 Dec 18;111(6):1165–1182. doi: 10.1152/jn.00493.2013

Table 1.

Model fits to subject data for experiment 1

Model kj kc ko dj, rad−2 dc, m−2 do, rad−2 dof BIC BIC Improvement over No Generalization
No-decay models
    Joint 1 0 −212.0 63.4
    Cartesian 1 0 26.5 −175.2
    Object 1 0 −65.6 −83.1
    C+O 0.29 0.71 1 −92.5 −56.2
    J+O 0.71 0.29 1 −280.9 132.2
    J+C 0.82 0.18 1 −248.5 99.8
    J+O+C 0.66 0.10 0.24 2 −294.3 145.6
Decay models
    Joint 1 0.93 1 −302.7 154.0
    Cartesian 1 365.88 1 −220.2 71.5
    Object 1 3.01 1 −101.0 −47.7
    C+O 1 0 365.93 N/A 3 −210.6 61.9
    J+O 0.88 0.12 0.71 0 3 −302.3 153.6
    J+C 1 0 0.93 N/A 3 −293.0 144.3
    J+O+C 0.88 0 0.12 0.71 N/A 0 5 −292.6 143.9

The k values are the mixture parameters for the individual coordinate system predictions, which are constrained to sum to 1. The d values are the decay parameters associated with distance from the training configuration in the 3 different coordinate systems (with the units of distance in radians for angles and meters for Cartesian distance). The final 3 columns are the degrees of freedom (dof) of the model, the Bayesian information criterion (BIC), and the BIC improvement compared with the no-generalization model. Dashes are used to indicate parameters that are not fit and are set to zero for the particular model. N/A refers to fitted parameters that do not affect the model predictions, as the corresponding mixing parameter has a fitted value of zero.