Abstract
Representing the neural activity in terms of spikes or rates are complementary approaches to computing neuronal dynamics. Likewise, communication between neurons via individual pairwise links or via smoothed fields are complementary approaches to modeling information transfer. Here it is shown that many intermediate and hybrid approaches exist, which enable different aspects of the dynamics to be probed and permit faster computation in many circumstances.
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The Australian Research Council and the Westmead Millennium Institute supported this work.
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Robinson, P.A., Kim, J.W. (2013). From Spiking Neurons to Neural Fields: Bridging the Gap to Achieve Faster Simulations of Neural Systems. In: Yamaguchi, Y. (eds) Advances in Cognitive Neurodynamics (III). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4792-0_12
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DOI: https://doi.org/10.1007/978-94-007-4792-0_12
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