TY - JOUR T1 - Projections of non-invasive human recordings into state space show unfolding of spontaneous and over-trained choice JF - bioRxiv DO - 10.1101/2020.02.24.962290 SP - 2020.02.24.962290 AU - Yu Takagi AU - Laurence Hunt AU - Mark W Woolrich AU - Timothy EJ Behrens AU - Miriam C Klein-Flügge Y1 - 2020/01/01 UR - http://biorxiv.org/content/early/2020/02/25/2020.02.24.962290.abstract N2 - Choices rely on a transformation of sensory inputs into motor responses. Using invasive single neuron recordings, the evolution of a choice process has been tracked by projecting population neural responses into state spaces. Here we develop an approach that allows us to recover state space trajectories on a millisecond timescale in non-invasive human recordings. We selectively suppress activity related to relevant and irrelevant sensory inputs and response direction in magnetoencephalography data acquired during context-dependent choices. Recordings from premotor cortex show a smooth progression from sensory input encoding to response encoding. In contrast to previous macaque recordings, information related to choice-irrelevant features is represented more weakly than choice-relevant sensory information. To test whether this mechanistic difference between species is caused by extensive overtraining common in non-human primate studies, we trained humans on >20,000 trials of the task. Choice-irrelevant features were still weaker than relevant features in premotor cortex after overtraining. ER -