Yangfan Peng: Brain-wide population activity in common subspace reflects actionable reward prediction

Charité-Universitätsmedizin Berlin

Abstract:
Large-scale neuronal recordings have revealed that movement-related activity is distributed across the brain. Within motor cortices, such activity have been described as latent dynamics on the population level. Whether non-motor regions follow these dynamics, and how this distributed activity relates to time-varying behavior remains unclear. We used multiple Neuropixels probes to simultaneously record neuronal population activity across cortical and subcortical regions during a reaching task in mice. Task-related population activity followed dominant latent dynamics across all recorded regions and were preserved across sessions and animals. Activity within this common subspace preceded movement onset and was continuously modulated by the movement amplitude and reward availability. Furthermore, region-specific activity in this subspace exhibited a temporal hierarchy, with earliest onset in thalamic and cortical regions. Together, our findings provide evidence for a brain-wide communication subspace for continuous action-mediated reward prediction.

 

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Organized by

Annalisa Colucci / Darko Komnenić