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Biological applications of bifurcation theory provide a framework for understanding the behavior of biological networks modeled as dynamical systems.In the context of a biological system, bifurcation theory describes how small changes in an input parameter can cause a bifurcation or qualitative change in the behavior of the system.
In simplified terms, a reconstruction collects all of the relevant metabolic information of an organism and compiles it in a mathematical model. Validation and analysis of reconstructions can allow identification of key features of metabolism such as growth yield, resource distribution, network robustness, and gene essentiality.
A more complex model may consist of several sub-models, e.g. micro-climate conditions given macro-climate conditions, body temperature given micro-climate conditions, fitness or other biological rates (e.g. survival, fecundity) given body temperature (thermal performance curves), resource or energy requirements, and population dynamics ...
To break the shell of the mollusk, the crows fly and drop the whelks on rocks. Reto Zach constructed an optimality model to predict the optimal height at which crows drop the whelks. [17] The benefit in this model is the success rate of cracking the whelk's shell, while the primary cost is the energy spent flying.
Escherichia coli is a gram-negative prokaryotic model organism Drosophila melanogaster, one of the most famous subjects for genetics experiments Saccharomyces cerevisiae, one of the most intensively studied eukaryotic model organisms in molecular and cell biology. A model organism is a non-human species that is extensively studied to understand ...
In biology, pairwise interactions have historically been the focus of intense study. With the recent advances in network science , it has become possible to scale up pairwise interactions to include individuals of many species involved in many sets of interactions to understand the structure and function of larger ecological networks . [ 27 ]
While this model has seen success in machine-learning applications, it is a poor model for real (biological) neurons, because it lacks time-dependence in input and output. When an input is switched on at a time t and kept constant thereafter, biological neurons emit a spike train.
A biological model is an organism or system representing a more complex biological entity. It may refer to: a model organism, a non-human species that is extensively studied to understand particular biological phenomena present in many related organisms; an in vitro model system, representing complex in vivo systems