title: The mutual inspirations of machine learning and neuroscience.
abstract: Neuroscientists are generating data sets of enormous size, which are matching the complexity of real-world classification tasks. Machine learning has helped data analysis enormously but is often not as accurate as human data analysis. Here, Helmstaedter discusses the challenges and promises of neuroscience-inspired machine learning that lie ahead.
authors: Department of Connectomics, Max Planck Institute for Brain Research, Max-von-Laue-Str. 4, 60438 Frankfurt, Germany. Electronic address: mh@brain.mpg.de.
authors: Moritz
authors: M
authors: Helmstaedter
mesh_terms: D001185:Artificial Intelligence / Q000639:trends; D001921:Brain / Q000502:physiology*; D006801:Humans; D009488:Neurosciences / Q000639:trends