Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Gain control through divisive inhibition prevents abrupt transition to chaos in a neural mass model. Retrieved May 24, 2026, from https://4ort.xyz/entity/gain-control-through-divisive-inhibition-prevents-abrupt-transition-to-chaos-in-a-neural-mass-model
MLA“Gain control through divisive inhibition prevents abrupt transition to chaos in a neural mass model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gain-control-through-divisive-inhibition-prevents-abrupt-transition-to-chaos-in-a-neural-mass-model.
BibTeX@misc{4ortxyz_gain-control-through-divisive-inhibition-prevents-abrupt-transition-to-chaos-in-a-neural-mass-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gain control through divisive inhibition prevents abrupt transition to chaos in a neural mass model}}, year = {2026}, url = {https://4ort.xyz/entity/gain-control-through-divisive-inhibition-prevents-abrupt-transition-to-chaos-in-a-neural-mass-model}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Gain control through divisive inhibition prevents abrupt transition to chaos in a neural mass model — https://4ort.xyz/entity/gain-control-through-divisive-inhibition-prevents-abrupt-transition-to-chaos-in-a-neural-mass-model (retrieved 2026-05-24)