9 citations · 13 across the 9 of their papers we have counts for
3 papers · 1 filter
Statistical physics, Bayesian inference and neural information processing
Erin Grant, Sandra Nestler, Berfin Şimşek +1
Lecture notes from the course given by Professor Sara A. Solla at the Les Houches summer school on "Statistical physics of Machine Learning". The notes discuss neural information p…
Learning Interacting Theories from Data
Claudia Merger, Alexandre René, Kirsten Fischer +5
One challenge of physics is to explain how collective properties arise from microscopic interactions. Indeed, interactions form the building blocks of almost all physical theories…
Neuronal architecture extracts statistical temporal patterns
Sandra Nestler, Moritz Helias, Matthieu Gilson
Neuronal systems need to process temporal signals. We here show how higher-order temporal (co-)fluctuations can be employed to represent and process information. Concretely, we dem…