“…This match led us to explore a simplified model, the MMDDM, in which a scalar latent decision variable evolves as in the DDM, but is represented in different neural modes before versus after decision-commitment. We found this to provide a parsimonious explanation of a variety of experimental findings from multiple species: across primates and rodents, sensory inputs and choice are represented in separate neural dimensions [6][7][8]53,59,60 across time, and neither sensory responses nor the neural dimensions for optimal decoding of the choice are fixed 7,59,60 . These phenomena, along with other observations including diversity in single neuron dynamics 50,51 , curved average trajectories 7,8,53 , choice behavior 36 , and some vigorously debated phenomena such as a variety of single-neuron ramping versus stepping temporal profiles 4,5,61 , are all captured by the MMDDM.…”