This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

As the Poisson distribution is a discrete function, the variable can only take specific values in a (potentially infinite) list. Put differently, the variable cannot take all values in any ...

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

A frequency distribution is a table or graph that shows how often values occur within specific intervals. It is commonly used in statistics to analyze quantitative data, such as census results or ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

Representing images and videos with Symmetric Positive Definite (SPD) matrices and utilizing the intrinsic Riemannian geometry of the resulting manifold has proved successful in many computer vision ...

A polynomial expansion to probability density function (pdf) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Parzen ...

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python data-science machine-learning framework ai sklearn regression prediction survival-analysis probability-distributions distributions time-to-event survival-models failure-prediction ...