Feature engineering involves systematically transforming raw data into meaningful and informative features (predictors). It is an indispensable process in machine learning and data science. This ...

Machine learning with whole-cell patch-clamp and local field potential recordings reveals that synaptic responses from five mossy cells, despite their limited population, can significantly reconstruct ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...