A generalized asynchronous digital spiking neuron model that can be implemented by an asynchronous sequential logic circuit is presented. The presented model is the most generalized version of asynchronous sequential logic circuit based neurons, where the sensitivity of its vector field to a stimulation input is generalized. It is clarified that, the generalization enables the model to exhibit various nonlinear responses characteristics that is classified into four groups. In addition, it is clarified that the generalization enables the model to exhibit typical dynamic response behaviors having prominent features observed in biological and model neurons. © 2011 Springer-Verlag.
CITATION STYLE
Matsubara, T., & Torikai, H. (2011). Dynamic response behaviors of a generalized asynchronous digital spiking neuron model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7064 LNCS, pp. 395–404). https://doi.org/10.1007/978-3-642-24965-5_45
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