中文
相关论文

相关论文: Metastable Evolutionary Dynamics: Crossing Fitness…

200 篇论文

Is evolution always gradual or can it make leaps? We examine a mathematical model of an evolutionary process on a fitness landscape and obtain analytic solutions for the probability of multi-mutation leaps, that is, several mutations…

种群与进化 · 定量生物学 2022-10-12 Mikhail I. Katsnelson , Yuri I. Wolf , Eugene V. Koonin

Information processing in neural populations is inherently constrained by metabolic resource limits and noise properties, with dynamics that are not accurately described by existing mathematical models. Recent data, for example, shows that…

神经与进化计算 · 计算机科学 2026-02-16 Yi-Chun Hung , Gregory Schwartz , Emily A. Cooper , Emma Alexander

The motility of eukaryotic cells is strongly influenced by their environment, with confined cells often developing qualitatively different motility patterns from those migrating on simple two-dimensional substrates. Recent experiments,…

细胞行为 · 定量生物学 2024-12-24 Pedrom Zadeh , Brian A. Camley

Local networks of neurons are nonlinear systems driven by synaptic currents elicited by its own spiking activity and the input received from other brain areas. Synaptic currents are well approximated by correlated Gaussian noise. Besides,…

神经元与认知 · 定量生物学 2024-04-09 Gianni Valerio Vinci , Maurizio Mattia

Predicting evolution of expanding populations is critical to control biological threats such as invasive species and cancer metastasis. Expansion is primarily driven by reproduction and dispersal, but nature abounds with examples of…

种群与进化 · 定量生物学 2019-04-26 Maxime Deforet , Carlos Carmona-Fontaine , Kirill S. Korolev , Joao B. Xavier

The expansion of a population into new habitat is a transient process that leaves its footprints in the genetic composition of the expanding population. How the structure of the environment shapes the population front and the evolutionary…

种群与进化 · 定量生物学 2018-11-26 Daniel A. Beller , Kim M. J. Alards , Francesca Tesser , Ricardo A. Mosna , Federico Toschi , Wolfram Möbius

In subdivided populations, migration acts together with selection and genetic drift and determines their evolution. Building up on a recently proposed method, which hinges on the emergence of a time scale separation between local and global…

种群与进化 · 定量生物学 2015-03-24 Pierangelo Lombardo , Andrea Gambassi , Luca Dall'Asta

Many biological populations exhibit diversity in their strategy for survival and reproduction in a given environment, and microbes are an example. We explore the fate of different strategies under sustained environmental change by…

种群与进化 · 定量生物学 2025-09-24 Ruixi Huang , David Waxman

We consider the dynamics imposed by natural selection on the populations of two competing, sexually reproducing, haploid species. In this setting, the fitness of any genome varies over time due to the changing population mix of the…

种群与进化 · 定量生物学 2024-07-18 Yuval Rabani , Leonard J. Schulman , Alistair Sinclair

The exploration of vast genotype spaces poses fundamental challenges for evolving populations. As the number of genotypes encoding viable phenotypes grows exponentially with genome length, populations can only explore a tiny fraction of…

种群与进化 · 定量生物学 2026-01-21 Susanna Manrubia , Luis F. Seoane , José A. Cuesta

Genetic interactions can strongly influence the fitness effects of individual mutations, yet the impact of these epistatic interactions on evolutionary dynamics remains poorly understood. Here we investigate the evolutionary role of…

种群与进化 · 定量生物学 2014-11-14 Benjamin H. Good , Michael M. Desai

The n-person Prisoner's Dilemma is a widely used model for populations where individuals interact in groups. The evolutionary stability of populations has been analysed in the literature for the case where mutations in the population may be…

种群与进化 · 定量生物学 2007-05-23 Anders Eriksson , Kristian Lindgren

Species populations often modify their environment as they grow. When environmental feedback operates more slowly than population growth, the system can undergo boom-bust dynamics, where the population overshoots its carrying capacity and…

种群与进化 · 定量生物学 2026-05-27 Pablo Moreno-Spiegelberg , Javier Aguilar

The fitness landscape defines the relationship between genotypes and fitness in a given environment, and underlies fundamental quantities such as the distribution of selection coefficient, or the magnitude and type of epistasis. A better…

种群与进化 · 定量生物学 2016-05-18 François Blanquart , Thomas Bataillon

Darwinian evolution is driven by random mutations, genetic recombination (gene shuffling) and selection that favors genotypes with high fitness. For systems where each genotype can be represented as a bitstring of length $L$, an overview of…

种群与进化 · 定量生物学 2023-04-11 Kristina Crona , Joachim Krug , Malvika Srivastava

A perturbation framework is developed to analyze metastable behavior in stochastic processes with random internal and external states. The process is assumed to be under weak noise conditions, and the case where the deterministic limit is…

偏微分方程分析 · 数学 2013-09-23 Jay Newby , Jon Chapman

Mechanisms leading to speciation are a major focus in evolutionary biology. In this paper, we present and study a stochastic model of population where individuals, with type a or A, are equivalent from ecological, demographical and spatial…

种群与进化 · 定量生物学 2017-04-20 Camille Coron , Manon Costa , Hélène Leman , Charline Smadi

The spatial dispersal of individuals is known to play an important role in the dynamics of populations, and is central to metapopulation theory. At the same time, local adaptation to environmental conditions creates a geographic mosaic of…

种群与进化 · 定量生物学 2017-09-25 Justin D. Yeakel , Jean P. Gibert , Peter A. H. Westley , Jonathan W. Moore

Stereotyped behaviors are series of postures that show very little variability between repeats. They have been used to classify the dynamics of individuals, groups and species without reference to the lower-level mechanisms that drive them.…

细胞行为 · 定量生物学 2019-06-12 Luke Tweedy , Patrick Witzel , Doris Heinrich , Robert H. Insall , Robert G. Endres

This paper aims to study how the population size affects the computation time of evolutionary algorithms in a rigorous way. The computation time of an evolutionary algorithm can be measured by either the expected number of generations…

神经与进化计算 · 计算机科学 2016-06-15 Jun He , Xin Yao
‹ 上一页 1 8 9 10 下一页 ›