Journal
NATURE NEUROSCIENCE
Volume 17, Issue 7, Pages 987-994Publisher
NATURE PORTFOLIO
DOI: 10.1038/nn.3739
Keywords
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Categories
Funding
- Scientific Research on Innovative Areas 'Mesoscopic Neurocircuitry' [22115005, 23115504]
- Neural Creativity for Communication [22120520]
- Challenging Exploratory Research [22650083]
- Scientific Research [23300148]
- Japan Society for the Promotion of Science Research Fellowships for Young Scientists [268449, 253960, 2213610]
- Research Activity Start-up [23800071]
- Strategic Research Program for Brain Sciences from the Ministry of Education, Culture, Sports, Science, and Technology
- Mitsubishi Foundation
- Takeda Foundation
- Toyoaki Foundation
- Uehara Memorial Foundation
- Brain Science Foundation
- [19680020]
- [26830020]
- [22680031]
- Grants-in-Aid for Scientific Research [22650083, 22115005, 25560432, 25113705, 23300148, 26830020, 25115705, 14J08449] Funding Source: KAKEN
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The primary motor cortex (M1) possesses two intermediate layers upstream of the motor-output layer: layer 2/3 (L2/3) and layer 5a (L5a). Although repetitive training often improves motor performance and movement coding by M1 neuronal ensembles, it is unclear how neuronal activities in L2/3 and L5a are reorganized during motor task learning. We conducted two-photon calcium imaging in mouse M1 during 14 training sessions of a self-initiated lever-pull task. In L2/3, the accuracy of neuronal ensemble prediction of lever trajectory remained unchanged globally, with a subset of individual neurons retaining high prediction accuracy throughout the training period. However, in L5a, the ensemble prediction accuracy steadily improved, and one-third of neurons, including subcortical projection neurons, evolved to contribute substantially to ensemble prediction in the late stage of learning. The L2/3 network may represent coordination of signals from other areas throughout learning, whereas L5a may participate in the evolving network representing well-learned movements.
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