Online supervised learning of temporal patterns in biological neural networks under feedback control
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 ...
cMedical Research Council Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK ...
Micro-nano plastics originating from the prevalent usage of plastics have raised increasingly alarming concerns worldwide. However, there remains a fundamental knowledge gap in nanoplastics because of ...
Wheat is one of the most widely consumed grains in the world and improving its yield, especially under severe climate conditions, is of great importance to world food security. Phenotyping methods can ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
The choice of colour to represent information in scientific images is a fundamental part of communicating findings. However, a number of colour palettes that are widely used to display critical ...
Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method.
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Metabolomics, the comprehensive measurement of low-molecular-weight molecules in biological fluids used for metabolic phenotyping, has emerged as a promising tool to better understand pathways ...
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