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bioRxiv · 10.1101/2020.02.24.962290

Projections of non-invasive human recordings into state space show unfolding of spontaneous and over-trained choice

Takagi, Y.·Hunt, L. T.·Woolrich, M. W.·Behrens, T. E. J.·Klein-Flugge, M.
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Abstract

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.

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Takagi, Y., Hunt, L. T., Woolrich, M. W., Behrens, T. E. J., Klein-Flugge, M.. 2020-02-25. Projections of non-invasive human recordings into state space show unfolding of spontaneous and over-trained choice. https://doi.org/10.1101/2020.02.24.962290

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