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Spatiotemporal models are emerging as a very important topic in several disciplines, including neurobiology and artificial neural networks. Many hard problems exist in this area. Examples include understanding the capabilities of nonlinear dynamical systems on a lattice and of networks of spiking neurons (both natural and artificial), training such systems, implementing them in hardware, understanding biological signals like the EEG, etc. Besides the state-of-the-art in the area of spatiotemporal models, the book also covers the neurobiological, and the artificial systems communities.
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Add Spatiotemporal Models in Biological and Artificial Systems, Vol. 37, Spatiotemporal models are emerging as a very important topic in several disciplines, including neurobiology and artificial neural networks. Many hard problems exist in this area. Examples include understanding the capabilities of nonlinear dynamical syste, Spatiotemporal Models in Biological and Artificial Systems, Vol. 37 to the inventory that you are selling on WonderClubX
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Add Spatiotemporal Models in Biological and Artificial Systems, Vol. 37, Spatiotemporal models are emerging as a very important topic in several disciplines, including neurobiology and artificial neural networks. Many hard problems exist in this area. Examples include understanding the capabilities of nonlinear dynamical syste, Spatiotemporal Models in Biological and Artificial Systems, Vol. 37 to your collection on WonderClub |