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Found 7 papers, 4 papers with code
Les Houches Lectures on Community Ecology: From Niche Theory to Statistical Mechanics
We then shift our focus by analyzing these same models in "high-dimensions" (i. e. in the limit where the number of species and resources in the ecosystem becomes large) and discuss how such complex ecosystems can be analyzed using methods from the statistical physics of disordered systems such as the cavity method and Random Matrix Theory.
Emergent competition shapes the ecological properties of multi-trophic ecosystems
Ecosystems are commonly organized into trophic levels -- organisms that occupy the same level in a food chain (e. g., plants, herbivores, carnivores).
Cross-feeding shapes both competition and cooperation in microbial ecosystems
Recent work suggests that cross-feeding -- the secretion and consumption of metabolic biproducts by microbes -- is essential for understanding microbial ecology.
Tregs self-organize into a "computing ecosystem" and implement a sophisticated optimization algorithm for mediating immune response
Regulatory T cells (Tregs) play a crucial role in mediating immune response.
Machine Learning as Ecology
Machine learning methods have had spectacular success on numerous problems.
Diverse communities behave like typical random ecosystems
In 1972, Robert May triggered a worldwide research program studying ecological communities using random matrix theory.
The Thermodynamic Uncertainty Relation in Biochemical Oscillations
Their success in carrying out their biological function is thought to depend on the degree to which these fluctuations in the cycle period can be suppressed.
Biological Physics Statistical Mechanics Molecular Networks
