Figure 1.

Schematic representation of the construction of the RKHS defined by the tensor-product kernel from the individual spike and LFP kernel spaces, along with the mapping from the original data. Specifically, s _i denotes a window of multiunit spike trains; x _n denotes a window of multichannel LFPs; κ _s(·, ·) denotes the spike train kernel with implicit mapping function ϕ(·); and κ _x(·, ·) denotes the LFP kernel with implicit mapping function φ(·).