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. 2012 May 7;7(5):e35850. doi: 10.1371/journal.pone.0035850

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Storchi et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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A) Binarized response for the neuron in Fig.1A. B) Predicted response for a model belonging to the optimal Pareto front. The predictive performances of this model represent a suitable trade-off between and . C) Predicted response for a model belonging to the optimal Pareto front. This model has the best predictive performances for at the expense of a significant worsening in . D) Average response for the true neuron (blue) and the model in (B) and (C) (respectively red and green lines). E-H) Same as (A-D) for a different cell. For the model in (F) and are respectively 0.70 and 0.41. For the model in (G) = 0.64 and = 0.61. The smallest achievable was 0.36 (but for = 0.74).

Inline graphic — A) Binarized response for the neuron in Fig.1A. B) Predicted response for a model belonging to the optimal Pareto front. The predictive performances of this model represent a suitable trade-off between and . C) Predicted response for a model belonging to the optimal Pareto front. This model has the best predictive performances for at the expense of a significant worsening in . D) Average response for the true neuron (blue) and the model in (B) and (C) (respectively red and green lines). E-H) Same as (A-D) for a different cell. For the model in (F) and are respectively 0.70 and 0.41. For the model in (G) = 0.64 and = 0.61. The smallest achievable was 0.36 (but for = 0.74).