ArticleNature communications2024
Slow ramping emerges from spontaneous fluctuations in spiking neural networks.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- No evidence for modulation of the readiness potential by respiratory phase during natural breathing.PLoS biology · 2026Article
- A brain-wide, trial- and time-dependent deterministic drive synergizes with within-trial noise to time self-initiated actions.bioRxiv : the preprint server for biology · 2026Article
- Adaptive proximity to criticality underlies amplification of ultra-slow fluctuations during free recall.PLoS computational biology · 2025Article
- Corticomuscular Coupling Analysis in Archery Based on Transfer Entropy.Entropy (Basel, Switzerland) · 2025Article
- Probing for intentions: The early readiness potential does not reflect awareness of motor preparation.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Task-constrained self-initiated attention shifts are indexed by frontal-midline theta ramping.Frontiers in human neuroscience · 2025Article
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4 authors.
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Abstract
The capacity to initiate actions endogenously is critical for goal-directed behavior. Spontaneous voluntary actions are typically preceded by slow-ramping activity in medial frontal cortex that begins around two seconds before movement, which may reflect spontaneous fluctuations that influence action timing. However, the mechanisms by which these slow ramping signals emerge from single-neuron and network dynamics remain poorly understood. Here, we developed a spiking neural-network model that produces spontaneous slow ramping activity in single neurons and population activity with onsets ~2 s before threshold crossings. A key prediction of our model is that neurons that ramp together have correlated firing patterns before ramping onset. We confirmed this model-derived hypothesis in a dataset of human single neuron recordings from medial frontal cortex. Our results suggest that slow ramping signals reflect bounded spontaneous fluctuations that emerge from quasi-winner-take-all dynamics in clustered networks that are temporally stabilized by slow-acting synapses.
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