Abstract
We propose a Universal Spiketrain Processor (USP) – a computing device for high-speed execution of Pulsed Para-Neural Networks (PPNN). PPNN is a graph consisting of processing nodes and directed edges, called axons. We provide a description of USP architecture, a USP-specific language of PPNN coding, and methods of conversion of the already existing PPNN code into a USP code. We also compare the USP’s performance with the already existing cellular-automata-based tools for PPNN simulation.
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Joachimczak, M., Grzyb, B., Jelinski, D. (2004). Universal Spike-Train Processor for a High-Speed Simulation of Pulsed Para-neural Networks. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_63
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DOI: https://doi.org/10.1007/978-3-540-30499-9_63
Publisher Name: Springer, Berlin, Heidelberg
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