Figure 3:
Dependence of source encoding accuracy on constants. Left panels show the magnitudes of the correlations between sources and responses of a neuron expected to encode source 1: |corr(st(1),xt1)| and |corr(st2,xt1)|. The right panels show the magnitudes of the correlations between sources and responses of a neuron expected to encode source 2: |corr(st(1),xt2)| and |corr(st2,xt2)|. (A) Dependence on the constant α that controls the excitability of a neuron when β is fixed to zero. The dashed line (0.5) indicates the optimal value of expαj1. (B) Dependence on constant β when α is fixed as αj1,αj0=-ln2,-ln2. Elements of β were randomly generated from a gaussian distribution with zero mean. The standard deviation of β was varied (horizontal axis), where zero deviation was optimal. Lines and shaded areas indicate the mean and standard deviation of the source-response correlation, evaluated with 50 different sequences.

Dependence of source encoding accuracy on constants. Left panels show the magnitudes of the correlations between sources and responses of a neuron expected to encode source 1: |corr(st(1),xt1)| and |corr(st2,xt1)|. The right panels show the magnitudes of the correlations between sources and responses of a neuron expected to encode source 2: |corr(st(1),xt2)| and |corr(st2,xt2)|. (A) Dependence on the constant α that controls the excitability of a neuron when β is fixed to zero. The dashed line (0.5) indicates the optimal value of expαj1. (B) Dependence on constant β when α is fixed as αj1,αj0=-ln2,-ln2. Elements of β were randomly generated from a gaussian distribution with zero mean. The standard deviation of β was varied (horizontal axis), where zero deviation was optimal. Lines and shaded areas indicate the mean and standard deviation of the source-response correlation, evaluated with 50 different sequences.

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