Brian 2: neural simulations on a variety of computational hardware
نویسندگان
چکیده
منابع مشابه
Large-Scale Simulations of Plastic Neural Networks on Neuromorphic Hardware
SpiNNaker is a digital, neuromorphic architecture designed for simulating large-scale spiking neural networks at speeds close to biological real-time. Rather than using bespoke analog or digital hardware, the basic computational unit of a SpiNNaker system is a general-purpose ARM processor, allowing it to be programmed to simulate a wide variety of neuron and synapse models. This flexibility is...
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15 صفحه اول2 Brian
In this paper the authors investigate infinite-dimensional representations L in blocks of the relative (parabolic) category OS for a complex simple Lie algebra, having the property that the cohomology of the nilradical with coefficients in L “looks like” the cohomology with coefficients in a finite-dimensional module, as in Kostant’s theorem. A complete classification of these “Kostant modules”...
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Many modern neural simulators focus on the simulation of networks of spiking neurons on parallel hardware. Another important framework in computational neuroscience, rate-coded neural networks, is mostly difficult or impossible to implement using these simulators. We present here the ANNarchy (Artificial Neural Networks architect) neural simulator, which allows to easily define and simulate rat...
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ژورنال
عنوان ژورنال: BMC Neuroscience
سال: 2014
ISSN: 1471-2202
DOI: 10.1186/1471-2202-15-s1-p199