Reservoir computing is a machine learning paradigm that exploits the transient dynamics of high-dimensional nonlinear systems. Although it was originally inspired by the mammalian brain and widely ...

Cues predictive of target locations orient covert attention, improving perceptual performance. Studies have focused on attentional influences on neural activity, but how cues activate attention and ...

This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a series of MATLAB Live Scripts with complementary PowerPoint ...

1 Bouaké Regional Office, National Centre for Agricultural Research (CNRA), Bouaké, Côte d’Ivoire. 2 Laboratory of Food Biochemistry and Processing of Tropical Products, Nangui Abrogoua University, ...

When it comes to tasks other than number crunching, the human brain possesses many advantages over a digital computer. We can quickly recognize a face, even when seen from the side in bad lighting in ...

Despite the well-known facilitatory effect that integration across the senses has on behavioural measures, standard neuroimaging approaches have not yet produced reliable and precise neural correlates ...

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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This paper presents the development of data-driven hybrid nonlinear static-nonlinear ...

A linear relationship was revealed between HMF concentration and red color resulting from the modified Seliwanoff test. Artificial intelligence interpretation of the concentration-color relationship ...