AI’s “backbone” increasingly means energy, infrastructure, and matrix math powering massive next-generation computing systems ...

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 ...

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 ...

This study provides important findings that during credit assignment, the lateral orbitofrontal cortex (lOFC) and hippocampus (HC) encode causal choice representations, while the frontopolar cortex ...

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, ...

aMedical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China bMedical Psychological Institute of Central South University, Central South University, ...

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 ...

Deep neural network models of sensory systems are often proposed to learn representational transformations with invariances like those in the brain. To reveal these invariances we generated "model ...

There are many monitoring environments, such as railway control, in which lapses of attention can have tragic consequences. Problematically, sustained monitoring for rare targets is difficult, with ...

In recent years, deep learning algorithms have become successful in solving complex cognitive tasks surpassing the performance achievable by traditional algorithmic approaches, and in some cases, even ...