Data analysed here derive from experiments conducted to study neurons’ activity in the visual cortex of behaving monkeys. We consider a spatio-temporal adaptive penalized spline (P-spline) approach for modelling the ﬁring rate of visual neurons. To the best of our knowledge, this is the ﬁrst attempt in the statistical literature for locally adaptive smoothing in three dimensions. Estimation is based on the Separation of Overlapping Penalties (SOP) algorithm, which provides the stability and speed we look for. Keywords: Visual neuron; Visual receptive ﬁeld; Adaptive Smoothing; P-splines; SOP algorithm.
Type of Publication:
Proceedings of the 31st International Workshop on Statistical Modelling