The field of Grammatical Inference was originally motivated by the problem of natural language acquisition. However, the formal models proposed within this field have left aside this linguistic motivation. In this paper, we propose to improve models and techniques used in Grammatical Inference by using ideas coming from linguistic studies. In that way, we try to give a new bio-inspiration to th...

1 MEG Unit, Brain Imaging Center, Goethe University, Frankfurt am Main, Germany 2 School of Civil Engineering, The University of Sydney, Sydney, NSW, Australia 3 CSIRO Digital Productivity Flagship, Marsfield, NSW, Australia 4 Department of Non-linear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany 5 Bernstein Center for Computational Neuroscience, Göttinge...

The primary neural networks decision-making units are activation functions. Moreover, they evaluate the output of node; thus, essential for performance whole network. Hence, it is critical to choose most appropriate function in calculation. Acharya et al. (2018) suggest that numerous recipes have been formulated over years, though some them considered deprecated these days since unable operate ...