ArticleJournal of neurophysiology2020
Stability of motor cortex network states during learning-associated neural reorganizations.
Article in Journal of neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Impaired peri-infarct long-term potentiation in anaesthetized rats suggests alternative mechanisms of post-stroke recovery.The Journal of physiology · 2026Article
- Cell-Type-Selective Cortical Pathology and Functional Deficits in Synucleinopathy.bioRxiv : the preprint server for biology · 2026Article
- The intrinsic time tracker: temporal context is embedded in entorhinal and hippocampal functional connectivity patterns.Nature communications · 2025Article
- Decoupling of motor cortex to movement in Parkinson's dyskinesia rescued by sub-anaesthetic ketamine.Brain : a journal of neurology · 2025Article
- The recovery of parabolic avalanches in spatially subsampled neuronal networks at criticality.Scientific reports · 2024Article
- The recovery of parabolic avalanches in spatially subsampled neuronal networks at criticality.bioRxiv : the preprint server for biology · 2024Article
- Low-dimensional criticality embedded in high-dimensional awake brain dynamics.Science advances · 2024Article
- The selfish network: how the brain preserves behavioral function through shifts in neuronal network state.Trends in neurosciences · 2024Review
- Parabolic avalanche scaling in the synchronization of cortical cell assemblies.Nature communications · 2023Article
- The fractal brain: scale-invariance in structure and dynamics.Cerebral cortex (New York, N.Y. : 1991) · 2023Review
- Recurrent activity in neuronal avalanches.Scientific reports · 2023Article
- Article
- Toward reframing brain-social dynamics: current assumptions and future challenges.Frontiers in psychiatry · 2023Review
- Quasicriticality explains variability of human neural dynamics across life span.Frontiers in computational neuroscience · 2022Article
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Authors and funding
4 authors.
Funding
Abstract
A substantial reorganization of neural activity and neuron-to-movement relationship in motor cortical circuits accompanies the emergence of reproducible movement patterns during motor learning. Little is known about how this tempest of neural activity restructuring impacts the stability of network states in recurrent cortical circuits. To investigate this issue, we reanalyzed data in which we recorded for 14 days via population calcium imaging the activity of the same neural populations of pyramidal neurons in layer 2/3 and layer 5 of forelimb motor and premotor cortex in mice during the daily learning of a lever-press task. We found that motor cortex network states remained stable with respect to the critical network state during the extensive reorganization of both neural population activity and its relation to lever movement throughout learning. Specifically, layer 2/3 cortical circuits unceasingly displayed robust evidence for operating at the critical network state, a regime that maximizes information capacity and transmission and provides a balance between network robustness and flexibility. In contrast, layer 5 circuits operated away from the critical network state for all 14 days of recording and learning. In conclusion, this result indicates that the wide-ranging malleability of synapses, neurons, and neural connectivity during learning operates within the constraint of a stable and layer-specific network state regarding dynamic criticality, and suggests that different cortical layers operate under distinct constraints because of their specialized goals.
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