Realistic neuronal models can serve as devices to collect, evaluate and distribute information concerning the functional organization of nervous systems. The central motivation for our Modeler's Workspace project is to provide the general neuroscience community with more ready access to the information contained in realistic neuronal models. The Modeler's Workspace is a collection of software tools that enable users to interact with databases of models and data. It provides facilities for searching multiple remote databases for model components based on various criteria, visualizing the characteristics of the components retrieved (as well as creating new model components), combining components into new models, and interacting with...
The NEURON simulation environment is a commonly used tool to perform electrical sim-ulation of neuro...
Neuroscientists use computer simulations of neural systems in their efforts to understand processes...
Neuroscientists conduct experiments at different scales from molecules to system level to gain insig...
Realistic neuronal models can serve as devices to collect, evaluate and distribute information conc...
SummaryConductance-based neuronal network models can help us understand how synaptic and cellular me...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
Full text of this chapter is not available in the UHRA.In this chapter, we describe neuroConstruct, ...
Progress in science depends on the effective exchange of ideas among scientists. New ideas can be as...
This paper presents a multidisciplinary collaboration between neurobiologists, database-, visualizat...
As computational neuroscience matures, many simulation environments are available that are useful fo...
Biological nervous systems and the mechanisms underlying their operation exhibit astonishing complex...
The need for reproducible, credible, multiscale biological modeling has led to the development of st...
Computer simulations allow researchers to explore processes underlying neural functions. Biologicall...
Computational models are powerful tools for exploring the properties of complex biological systems. ...
The field of computational neuroscience has received a substantial boost during the last two decades...
The NEURON simulation environment is a commonly used tool to perform electrical sim-ulation of neuro...
Neuroscientists use computer simulations of neural systems in their efforts to understand processes...
Neuroscientists conduct experiments at different scales from molecules to system level to gain insig...
Realistic neuronal models can serve as devices to collect, evaluate and distribute information conc...
SummaryConductance-based neuronal network models can help us understand how synaptic and cellular me...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
Full text of this chapter is not available in the UHRA.In this chapter, we describe neuroConstruct, ...
Progress in science depends on the effective exchange of ideas among scientists. New ideas can be as...
This paper presents a multidisciplinary collaboration between neurobiologists, database-, visualizat...
As computational neuroscience matures, many simulation environments are available that are useful fo...
Biological nervous systems and the mechanisms underlying their operation exhibit astonishing complex...
The need for reproducible, credible, multiscale biological modeling has led to the development of st...
Computer simulations allow researchers to explore processes underlying neural functions. Biologicall...
Computational models are powerful tools for exploring the properties of complex biological systems. ...
The field of computational neuroscience has received a substantial boost during the last two decades...
The NEURON simulation environment is a commonly used tool to perform electrical sim-ulation of neuro...
Neuroscientists use computer simulations of neural systems in their efforts to understand processes...
Neuroscientists conduct experiments at different scales from molecules to system level to gain insig...