Consequently, users can think in terms of the biophysical properties of membrane and cytoplasm, the branched architecture of neurons, and the effects of synaptic communication between cells. Instead of forcing users to reformulate their conceptual models to fit the requirements of a general purpose simulator, NEURON is designed to let them deal directly with familiar neuroscience concepts. It has functions that are tailored for conveniently controlling simulations, and presenting the results of real neurophysiological problems graphically in ways that are quickly and intuitively grasped. NEURON's computational engine employs special algorithms that achieve high efficiency by exploiting the structure of the equations that describe neuronal properties. It has benefited from judicious revision and selective enhancement, guided by feedback from the growing number of neuroscientists who have used it to incorporate empirically-based modeling into their research strategies. Moore at Duke University, where he and Michael Hines started their collaboration to develop simulation software for neuroscience research. NEURON had its beginnings in the laboratory of John W. Advantages over general-purpose simulators It is particularly well-suited to problems that are closely linked to experimental data, especially those that involve cells with complex anatomical and biophysical properties. It provides tools for conveniently building, managing, and using models in a way that is numerically sound and computationally efficient. NEURON is a simulation environment for modeling individual neurons and networks of neurons. is free, open source, and runs on (almost) everythingĪ flexible and powerful simulator of neurons and networks.is well-documented and actively supported.is widely used in neuroscience research by experimentalists and theoreticians.
offers customizable initialization and simulation flow control.has many enhancements for efficient network modeling.has a user-extendable library of biophysical mechanisms.helps users focus on important biological issues rather than purely computational concerns.has important advantages over general-purpose simulators.is a flexible and powerful simulator of neurons and networks.
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