Yves Sciama is a freelance science writer, trained in biology and science journalism, who covers life and environmental sciences. His work has appeared in Science et Vie, Le Monde and other major French-language media, as well as in Science. He has won multiple prizes and fellowships, including a yearlong Knight Science Journalism Fellowship at the Massachusetts Institute of Technology in 2014, and is former president of AJSPI, the French association of science journalists.
Yves Sciama
Contributing writer
From this contributor
At the end of the earth with Paul-Antoine Libourel
The French researcher’s accomplishments working with chinstrap penguins in the Antarctic highlight the importance of recording sleep in the wild.
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Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.