As the first fully genetically encoded method, PARIS allows cell-specific, long-term, repeated measurements of gap junctional coupling with high spatiotemporal resolution, facilitating its study in both health and disease.
Visualization methods display the dynamics of the currents in conductance-based model neurons, and show how their contribution changes in response to perturbation.
Leave-One-Trial-Out (LOTO) is a general, efficient and easily implementable approach for inferring trial-by-trial measures of computational model parameters in order to link these measures to neural mechanisms.
Kathryn M Tabor, Gregory D Marquart ... Harold A Burgess
A new resource of transgenic zebrafish lines facilitates precise targeting of neuronal cell-types within the brain, supported by online software for visualizing transgene expression patterns.
Phototrophic growth laws are elucidated by combining computational modeling and experiments for quantitative evaluation of cellular physiology, morphology and proteome allocation across a wide range of light conditions.
A new computational framework provides a flexible and general approach for single and collective biological motion characterisation and phenotyping ideally suited for high-throughput timelapse screens.
Joshua T Vogelstein, Eric W Bridgeford ... Cencheng Shen
Multiscale Graph Correlation, an interpretable hypothesis test with strong theoretical guarantees for discerning relationships in complex data, requires about half the sample size as other methods, whilst maintaining computational tractability.
Photoswitchable ceramides containing an azobenzene photoswitch behave as light-controllable substrates for both sphingomyelin synthase and glucosylceramide synthase.
A systematic high-throughput neurohistological and computational pipeline for marmoset which establishes a foundational setup in brain mapping and circuit tracing to support current and emerging research in primate studies.
