Our Ref.: 39418.EPF.P110PC Official file: tba December 20, 2024 - 51 - Abstract The present invention provides a system (100) for planning and/or providing control to neuro- modulation and/or neurostimulation and/or an actuator such as a brain computer interface (BCI) and/or providing a neural interface system, especially a brain-spinal-cord-interface sys- tem, the system (100) comprising: at least one input module (10) for brain signals (S), espe- cially raw brain signals (S); at least one pre-processing module (12) for converting the raw brain signals (S) into input tensors, wherein the input tensors include at least one of temporal and/or spatial and/or spectral information, and at least one conversion module (13) comprising an encoder and decoder network architecture (14), wherein the encoder and decoder network architecture (14) is configured to be trained by using partially masked samples of the input tensors to reconstruct electrical activity of a given representation of the input tensors, wherein a masking ratio is applied with positional embedding, which provides simultaneous learning of local and global features present in the brain data, thereby transforming the input tensors into a latent space. The invention further provides a method for planning neuromodulation and/or neurostimulation through the above-described system (100). (Fig. 1)