The dynamics of neuron populations commonly evolve on low-dimensional manifolds. Thus, we need methods that learn the dynamical processes over neural manifolds to infer interpretable and consistent ...

The outstanding results achieved by large language models (LLMs) 1,2 and by their even more recent multi-modal variants 3, rely on attention-based neural architectures with several analogies to the ...