Stability of motor cortex network states during learning-associated neural reorganizations
Zhengyu Ma, Haixin Liu, Takaki Komiyama, Ralf Weßel
Abstract
The neural activity reorganizes throughout motor learning, but how this reorganization impacts the stability of network states is unclear. We used two-photon calcium imaging to investigate how the network states in layer 2/3 and layer 5 of forelimb motor and premotor cortex are modulated by motor learning. We show that motor cortex network states are layer-specific and constant regarding criticality during neural activity reorganization, and suggests that layer-specific constraints could be motivated by different functions.
Topics & Concepts
NeuroscienceMotor learningMotor cortexArtificial neural networkPsychologyChemistryComputer scienceArtificial intelligenceStimulationNeural dynamics and brain functionFunctional Brain Connectivity StudiesNeural Networks and Applications