 |
    |
Evolving Spike-Train Processors
Juan Liu and Andrzej Buller
ATR Human Information Science Laboratories, 2-2-2 Hikaridai, Keihanna Science City, Kyoto 619-0288 Japanjuanliu@atr.jp
buller@atr.jp
Abstract. The research described in this paper was motivated by the idea to process purposefully given spike-trains using a cellular automaton (CA). CAs have three attractive features, namely massive parallelism, locality of cellular interactions, and simplicity of basic components (cells). However, the difficulty of designing a CA for a specific behavior causes limited interest in this computational paradigm. Automating the design process would substantially enhance the viability of CAs. Evolving CAs for purposeful computation is a scientific challenge undertaken to date by, among others, Mitchell et al. [1], Sipper et al. [2] and de Garis et al. [3].
LNCS 3103, p. 408 f.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2004