Abstract
We present Pulsed Para-Neural Networks (PPNN) defined as graphs consisting of processing nodes and directed edges, called axons. We discuss PPNNs in which every node has up to 3 inputs and returns a pulse at clock t if itreceived one and only one pulse at clock t-1. Axons represent pure delays. We provide theoretical account for MEXOR Logic underlying the behavior of the presented PPNNs. A number of proven theorems and schemes of practical devices shows that MEXOR-based PPNNs may be considered as a step toward a future-generation evolvable hardware for a brain-like computing.
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Buller, A., Ahson, I., Azim, M. (2004). Pulsed Para-neural Networks (PPNN) Based on MEXOR Logic. 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_61
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DOI: https://doi.org/10.1007/978-3-540-30499-9_61
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