Model Selection in Sensory Data Interpretation
Francesco Guido Rinaldi and Eugenio Piasini
Bernstein 2024
In order to survive, animals constantly face decisions between competing interpretations for noisy and sparse sensory data. In statistics, multiple formal frameworks exist to tackle this problem, known as Model Selection (MS). However, despite the abundance of theoretical methods, the way in which MS is performed by…