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Data from: Fundamental activity constraints lead to specific interpretations of the connectome
- 负责人：
- DOI：
- doi:10.5061/dryad.vn342
- 摘要：
- of the dynamics, which allows us to include activity constraints into the process of model construction. We shape the phase space of a multi-scale network model
Data from: Experimentally verified parameter sets for modelling heterogeneous neocortical pyramidal-cell populations
- 负责人：
- DOI：
- doi:10.5061/dryad.d30k7
- 摘要：
- Models of neocortical networks are increasingly including the diversity of excitatory and inhibitory neuronal classes. Significant variabili
Data from: Predicting species occurrences with habitat network models
- 负责人：
- DOI：
- doi:10.5061/dryad.sc818d5
- 摘要：
- habitat characteristics. We address these shortcomings and present a network-based modelling approach, which aims to predict species occurrence-state in habitat patches usi
Circadian and brain state modulation of network hyperexcitability in Alzheimer's disease - rodent datasets
- 负责人：
- University Of Edinburgh;;University Of Edinburgh
- DOI：
- doi:10.7488/ds/2319
- 摘要：
- patients and AD animal models share certain features, the mechanistic overlap remains to be established. We aimed to identify features of network
Data from: System-level insights into the cellular interactome of a non-model organism: inferring, modelling and analysing functional gene network
- 负责人：
- 关键词：
- Glycine max
- DOI：
- doi:10.5061/dryad.0rv1m
- 摘要：
- and defects, and covering different slices of biological information. Functional gene network (FGN), a consolidated interaction network that models fuzzy
Data from: Fine-tuning the nested structure of pollination networks by adaptive interaction switching, biogeography and sampling effect in the Gal
- 负责人：
- DOI：
- doi:10.5061/dryad.0c3cn5f
- 摘要：
- r selected at random. To explain network structures, we first use a dynamic model that includes functional response of pollination and AIS
Data from: Reliability modelling and analysis of a multi-state element based on a dynamic Bayesian network
- 负责人：
- DOI：
- doi:10.5061/dryad.1ch71sd
- 摘要：
- This paper presents a quantitative reliability modelling and analysis method for multi-state elements (MSEs) based on a combination
Data from:A method for estimating Hill function-based dynamic models of gene regulatory networks
- 负责人：
- DOI：
- doi:10.5061/dryad.ht047
- 摘要：
- Gene regulatory networks (GRNs) are quite large and complex. To better understand and analyze GRNs, mathematical models are being employed
Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination
- 负责人：
- Digital.CSIC;;Digital.CSIC
- 关键词：
- DOI：
- doi:10.20350/digitalcsic/8507
- 摘要：
- in pollination networks by using a hybrid model that combined a recently developed stochastic coextinction model (SCM) for plant extinctions
Data from: What can interaction webs tell us about species roles?
- 负责人：
- DOI：
- doi:10.5061/dryad.39jv1
- 摘要：
- The group model is a useful tool to understand broad-scale patterns of interaction in a network, but it has previously been limited in use
