Susann Meyer

07.08.2023

Nat Struct Mol Biol

07.08.2023

Structural conservation of antibiotic interaction with ribosomes

Paternoga H, Crowe-McAuliffe C, Bock LV, Koller TO, Morici M, Beckert B, Myasnikov AG, Grubmüller H, Nováček J, Wilson DN

01.08.2023

Brain

01.08.2023

Aggregation and beyond: alpha-synuclein-based biomarkers in synucleinopathies

Chopra A, Outeiro TF

28.07.2023

J Neurochem

28.07.2023

Proteomic analysis of the human hippocampus identifies neuronal pentraxin 1 (NPTX1) as synapto-axonal target in late-stage Parkinson’s disease

Warth Perez Arias CC, Silbern I, Caldi Gomes L, Wartmann H, Dambeck V, Fanz J, Neuenroth L, Bähr M, Outeiro TF, Bonn S, Stadelmann-Nessler C, Rizzoli SO, Lenz C, Urlaub H, Lingor P

27.07.2023

Information processing in the Deep Neural Network: the content of the image (the handwritten number 3) is read. The intermediate layers take in the information one after the other. In the process, it is distributed to the artificial neurons. In the final stage, the output layer outputs a number, which should match the input value. The artificial neurons specialise: one neuron becomes active when, for example, a three is shown, another neuron becomes active when a nine is shown.
Figure: David Ehrlich, CIDBN, University of Göttingen

27.07.2023

Looking deep into the Network

Göttingen research team explores information processing in Deep Neural Networks Artificial neural networks are everywhere in research and technology, as well as in everyday technologies such as speech recognition. Despite […]

26.07.2023