Towards NeuroML: model description methods for collaborative modelling in neuroscience.
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Towards reproducible descriptions of neuronal network models.Brian: a simulator for spiking neural networks in pythonNeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detailBioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic modelsTerminology for neuroscience data discovery: multi-tree syntax and investigator-derived semantics.neuroConstruct: a tool for modeling networks of neurons in 3D spaceAction and language mechanisms in the brain: data, models and neuroinformaticsCOMBINE archive and OMEX format: one file to share all information to reproduce a modeling projectPython as a federation tool for GENESIS 3.0Simulation of networks of spiking neurons: a review of tools and strategies.Technical integration of hippocampus, Basal Ganglia and physical models for spatial navigation.A framework for modeling the growth and development of neurons and networks.Meredys, a multi-compartment reaction-diffusion simulator using multistate realistic molecular complexes.PyMOOSE: Interoperable Scripting in Python for MOOSE.Neural Query System: Data-mining from within the NEURON simulator.The connection-set algebra--a novel formalism for the representation of connectivity structure in neuronal network models.Data mining through simulation.Model storage, exchange and integration.NEURON and Python.Trends in programming languages for neuroscience simulations.Brownian diffusion of AMPA receptors is sufficient to explain fast onset of LTP.Vectorized algorithms for spiking neural network simulation.Neural systems integration.The layer-oriented approach to declarative languages for biological modeling.Improving collaboration by standardization efforts in systems biology.Simulations of pattern dynamics for reaction-diffusion systems via SIMULINK.libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience.The role of markup for enabling interoperability in health informatics.Neuroinformatics: the integration of shared databases and tools towards integrative neuroscience.Tools and approaches for the construction of knowledge models from the neuroscientific literature.Databases for multilevel biophysiology research available at Physiome.jp.Reproducibility in Computational Neuroscience Models and Simulations.morphforge: a toolbox for simulating small networks of biologically detailed neurons in Python.Automated algorithms for multiscale morphometry of neuronal dendrites.Using NeuroML and neuroConstruct to build neuronal network models for multiple simulators.Exploring the limitations of simulator independence via an implementation of a biophysically detailed cerebellar cortex model in NEURON and NEST.Neuroinformatics in model organisms.Code Generation in Computational Neuroscience: A Review of Tools and Techniques
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P2860
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
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2001 nî lūn-bûn
@nan
2001 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Towards NeuroML: model description methods for collaborative modelling in neuroscience
@nl
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
@ast
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
@en
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
@en-gb
type
label
Towards NeuroML: model description methods for collaborative modelling in neuroscience
@nl
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
@ast
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
@en
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
@en-gb
prefLabel
Towards NeuroML: model description methods for collaborative modelling in neuroscience
@nl
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
@ast
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
@en
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
@en-gb
P2093
P356
P1476
Towards NeuroML: model description methods for collaborative modelling in neuroscience.
@en
P2093
P304
P356
10.1098/RSTB.2001.0910
P407
P577
2001-08-01T00:00:00Z