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 ...

They have the sole Triumph Motorcycles for representation, yet they still manage to take a bite of all the pies, including dirt bikes, classic-vibing roadsters, naked bikes, sports bikes, and even ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Any home gardener knows they have to tailor their watering regime for different plants. Forgetting to water their flowerbed ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

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 ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Most dynamical models introduced in the past were linear, which means that they assumed that changes in neural activity would follow a simple structure. While linear models tend to be easier to ...

OXLC’s RIC structure forces high payouts but erodes NAV, making long-term buy-and-hold strategies risky and often ...

To effectively map local features of tiles to the corresponding adjacency matrix, a graph neural network is employed. This trained model is used to predict short violations at the placement stage.