Abstract
In this work we present the design of an electronic model of a single commutation neuron and illustrate some of its dynamic behavior. This kind of electronic neuron shows changes in the activity of its potential when it is equal to threshold level constant. In particular, the neuron model developed presents commutation processes in its dynamical behavior. That is, the model is integrative as a leaky integrator below the threshold level and shoots when it reaches it; then the neuron’s potential decays similar to an integrate and fire model. The electronic neuron can commute between, at least, two different kinds of oscillatory behavior. As a consequence of this, the neural response can be formed with different combinations of spikes and pulses.
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Padrón, A., Pérez, J.L., Herrera, A., Prieto, R. (2000). Dynamical Behavior of an Electronic Neuron of Commutation. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_31
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DOI: https://doi.org/10.1007/10720076_31
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