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For analyzing time-dependent patch-clamp or patch-clamp fluorometry data of ion channels in terms of Markovian models, the superiority of Bayesian filtering with respect to traditional deterministic approaches is demonstrated enabling more reliable quantification of the parameters.

The parallels between Bayesian synapses and energy-efficient synapses are highlighted.

A physics-based, statistically rigorous mathematical model enables automated, objective interpretation of images from single-molecule fluorescence colocalization microscopy experiments.

Autistic traits are associated with weaker influence of prior expectations in visual perception, which is due to more precise sensory representations.

A novel method and software provides researchers with the capability to rapidly, flexibly, and robustly perform Bayesian parameter estimation of theoretically meaningful models in cognitive neuroscience that were heretofore intractable.

New modelling, statistics, and experiments show that cellular populations of mitochondrial DNA (mtDNA) evolve during development according to solvable stochastic dynamics involving binomial partitioning and random turnover, facilitating a predictive and quantitative theory of the mtDNA bottleneck.

People's confidence in information and their neural correlates in key regions of the social brain are more stable when tracking social advice compared to non-social information.

Bayesian survival analysis reveals comprehensive efficacy profile and mechanism of action for Sanofi-Pasteur’s CYD-TDV dengue vaccine, whereby vaccination acts as a silent, disease-free infection enhancing disease risk in seronegatives, but giving greater immunity in seropositives than two natural infections.

Chronic two-photon calcium imaging, optogenetics, and operant behavioral approaches were leveraged to show that hyperactivity, hyperresponsivity, and hypersynchronization in auditory cortex neural ensembles can account for auditory hypersensitivity following acoustic trauma.

New functionality in RELION-4.0 allows convenient structure determination from cryo electron tomography data to resolutions sufficient for de novo atomic modelling.