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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: Psychon Bull Rev. 2016 Jun;23(3):877–886. doi: 10.3758/s13423-015-0963-8

Figure 2.

Figure 2

The general setup of our analysis: an input n is mapped to a representation ψ(n), which may then be corrupted by noise ε. We seek to minimize the amount by which this noise “matters” on the original input scale, given by ψ−1(ψ(n) + ε) – n. We compute ψ−1(n) using a linear approximation (see text).