Abstract
In this paper, the implementation results of an integrate and fire neuron implemented in a 130 nm process are presented. This publication covers the properties of IAF neurons from calculations on an ideal electrical circuit modeling the soma of an IAF neuron and compares the theoretical results with simulation results from an extracted layout of the implemented neuron.
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© 2007 Springer-Verlag Berlin Heidelberg
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Kaulmann, T., Lütkemeier, S., Rückert, U. (2007). IAF Neuron Implementation for Mixed-Signal PCNN Hardware. In: Sandoval, F., Prieto, A., Cabestany, J., Graña, M. (eds) Computational and Ambient Intelligence. IWANN 2007. Lecture Notes in Computer Science, vol 4507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73007-1_55
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DOI: https://doi.org/10.1007/978-3-540-73007-1_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73006-4
Online ISBN: 978-3-540-73007-1
eBook Packages: Computer ScienceComputer Science (R0)