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Figure 7 | BMC Neuroscience

Figure 7

From: Context-dependent selection of visuomotor maps

Figure 7

Robustness and generalization in the scaling task. Left and right columns are for networks in which scale is encoded discontinuously and continuously, respectively. Each panel shows results for three noise levels: α = 0.09 (squares), α = 1 (circles) and α = 9 (triangles). a: Error in encoded movement location as a function of the number of GM neurons. Each point represents an average over stimulus locations, scales and trials; 31 stimulus locations and 5 scales were used both to set the connections and test the networks. The filled symbol indicates the network in Figs. 6a-d. b: As in a but for networks in which scale is encoded continuously. The filled symbol indicates the network in Figs. 6e-h. c, d: σ CM vs network size in networks with corrupted synaptic weights. These simulations proceed as in a, b, except that performance is tested after deleting 25% of the synaptic connections, chosen randomly. e: σ CM vs network size when only 8 stimulus locations (combined with the 5 scales) are used to set the connections and the network is tested with all combinations of 31 stimulus locations and 5 scales. f: σ CM vs network size when combinations of only 8 stimulus locations and 8 scales are used to set the connections and performance is evaluated with all combinations of 31 stimulus locations and 31 scales. Continuous lines are linear fits to the data points above 250 units. Note logarithmic axes.

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