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</script>"Brian" is a simulator for spiking neural networks (http://www.briansimulator.org). The focus is on making the writing of simulation code as quick and easy as possible for the user, and on flexibility: new and non-standard models are no more difficult to define than standard ones. This allows scientists to spend more time on the details of their models, and less on their implementation. Neuron models are defined by writing differential equations in standard mathematical notation, facilitating scientific communication. Brian is written in the Python programming language, and uses vector-based computation to allow for efficient simulations. It is particularly useful for neuroscientific modelling at the systems level, and for teaching computational neuroscience.
Teaching, Systems neuroscience, 610, Neurosciences. Biological psychiatry. Neuropsychiatry, 1702 Cognitive Science, simulation, systems neuroscience, teaching, python, spiking neural networks, 1109 Neurosciences, Python, RC321-571, Neuroscience
Teaching, Systems neuroscience, 610, Neurosciences. Biological psychiatry. Neuropsychiatry, 1702 Cognitive Science, simulation, systems neuroscience, teaching, python, spiking neural networks, 1109 Neurosciences, Python, RC321-571, Neuroscience
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 390 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
