A principle from which the neuronal dynamics and synaptic plasticity in arbitrary network architectures can be inferred, so that output errors are online minimized while simultaneously processing sensory input streams.
The synthesis capability of some amino acids is lost during the insect evolution, and hymenopteran parasitoids can make up for these deficiencies by altering free amino acid concentrations in host.
Certain types of 3D chromatin loops are easy to predict from existing or easily obtainable 2D information, which benefits gene expression studies in tissues/cells/organisms without extensive pre-existing 3D information.
SDH-null cancer cells decrease mitochondrial complex I to drive rewired aspartate synthesis through reductive carboxylation and pyruvate carboxylase, supporting cell proliferation and tumor growth.
An unbiased model for the self-organisation of the Golgi apparatus displays either anterograde vesicular transport or cisternal maturation depending on ratios of budding, fusion and biochemical conversion rates.
Sean R Bittner, Agostina Palmigiano ... John Cunningham
Emergent property inference, a novel machine learning methodology, learns distributions of neural circuit model parameters that produce computational properties and provides novel scientific insight through the quantification of the rich parametric structure it captures.
Temporally delayed linear modelling provides a domain-general linear framework for sequence detection and statistical testing, and is able to detect replays in both human neuroimaging and animal electrophysiology.
Emilie-Fleur Neubauer, Angela Z Poole ... Virginia M Weis
The colonization of corals and their relatives by intracellular microalgae is facilitated by immunity proteins in the animal that contain thrombospondin-type-1 repeats, elucidating the inter-partner recognition processes required for the establishment of this ecologically important symbiosis.
