Abstract
This paper presents the design and applications of a novel mixed analog-digital integrated circuit, that computes in real time biologicallyrealistic models of neurons and neural networks. The IC is organized as a programmable array of modules, which can be parameterized and interconnected like the modeled cells. On-chip memory cells dynamically store the programming data. The whole analog simulation system exploiting the circuit is described, and applications examples are reported, to validate different configurations and compare with numerical simulations.
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© 2001 Springer-Verlag Berlin Heidelberg
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Douence, V., Renaud-Le Masson, S., Saïghi, S., Le Masson, G. (2001). A Field-Programmable Conductance Array IC for Biological Neurons Modeling. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_3
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DOI: https://doi.org/10.1007/3-540-45723-2_3
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42237-2
Online ISBN: 978-3-540-45723-7
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