External Stimuli on Neural Networks: Analytical and Numerical Approaches.

Particularly, as presented in Figure 5 c, this technique was easily implemented for α = 16 ; in this case we acquire κ c ≃ 3.3 , together with m ρ ≃ 0.7 , whereas the difference Δ m remains quite significant (revealing a maximum value Δ m ≃ 0.1 ), and still allowing recognition.

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