Neuronal population activity dynamics reveal a low-dimensional signature of operant learning
bioRxiv(2021)
摘要
Learning engages a high-dimensional neuronal population space spanning multiple brain regions. We identified a low-dimensional signature associated with operant conditioning, a ubiquitous form of learning in which animals learn from the consequences of behavior. Using single-neuron resolution voltage imaging, we identified two low-dimensional motor modules in the neuronal population underlying Aplysia feeding. Our findings point to a temporal shift in module recruitment as the primary signature of operant learning.
### Competing Interest Statement
The authors have declared no competing interest.
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关键词
neuronal population activity dynamics,learning,low-dimensional
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