Neural populations may depend on balanced recurrent connectivity to produce an efficient stimulus representation while also maintaining an accurate stimulus encoding despite the variability introduced by adapting neural responses.
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.
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.
Mathematical modeling suggests that grid cells in the rodent brain use fundamental principles of number theory to maximize the efficiency of spatial mapping, enabling animals to accurately encode their location with as few neurons as possible.
Multivariate analyses of human electrophysiological recordings revealed that the brain represents unexpected visual stimuli with greater fidelity than expected stimuli which arose independently of simple habituation arising from repetition.