Figure 6.

Mean squared error (MSE) as a function of the number of spikes used for the different decoding schemes. The stimulus consists of a superpostion of 40 sine and 40 cosine functions of discrete frequencies equally spaced between 10 and 50 Hz. The time constant of the neuron used for decoding is τ = 25 ms. The MSE is calculated as the average over 100 repetitions for three different noise levels. Horizontal lines indicate the asymptotic bias for the different noise levels. The prior was an isotropic Gaussian with zero mean and covariance matrix 𝟙 · 25.