David H Burkhardt, Silvi Rouskin ... Carol A Gross
Operonic mRNAs in bacteria are comprised of ORF (open reading frame)-wide units of secondary structure, which are intrinsically distinct between adjacent ORFs and encode a rough blueprint for ORF-specific translation efficiency.
Attractive and repulsive history biases in visual perception occur simultaneously, yet over dissociable timescales, and are explained by efficient encoding and Bayesian decoding of visual information in a stable environment.
Visual sensitivity to correlation patterns in rats matches that previously measured in humans, as well as predictions from efficient coding theory based on the statistics of natural images.
An efficient coding theory for higher-level cognitive processes reveals that humans efficiently adapt to contextual distributions by economizing on environmental prior information.
Hui Zhao, Bernard Thienpont ... Diether Lambrechts
A comprehensive catalogue of somatic mutations accumulating in MMR-deficient tumors highlights their relevance in the context of human genetic evolution, for the diagnosis of microsatellite instability and the provision of targeted treatment options.
For poly(A)-tail length to influence mRNA translational efficiency, poly(A)-binding protein (PABPC) must be limiting, mRNAs lacking PABPC must be stable, and translation initiation must be sensitive to PABPC levels.
Sebastian Bohm, Falk Mersmann ... Adamantios Arampatzis
During human running, the soleus muscle was found to operate as work generator under optimal conditions for work production (high force-length potential and enthalpy efficiency) while the vastus lateralis promoted tendon energy storage and economical force generation (high force-length-velocity potential).
Loss of T cell control during persistent polyomavirus infection, in the setting of a limited antiviral antibody response, facilitates emergence of antibody-escape viruses carrying the potential for neurovirulence.
Recurrent spiking networks that process input stimuli with optimal efficiency have key emerging properties that are similar to those of biological neural networks.
