TY  - EJOU
AU  - Ramírez-Mendoza, A. M. E. 

TI  - Modeling the Spike Response for Adaptive Fuzzy Spiking Neurons with Application to a Fuzzy XOR
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2018
VL  - 115
IS  - 3
SN  - 1526-1506

AB  - A spike response model (SRM) based on the spikes generator circuit (SGC) of adaptive fuzzy spiking neurons (AFSNs) is developed. The SRM is simulated in MatlabTM environment. The proposed model is applied to a configuration of a fuzzy exclusive or (fuzzy XOR) operator, as an illustrative example. A description of the comparison of AFSNs with other similar methods is given. The novel method of the AFSNs is used to determine the value of the weights or parameters of the fuzzy XOR, first with dynamic weights or self-tuning parameters that adapt continuously, then with fixed weights obtained after training, finally with fixed weights and a dynamic gain or self-tuning gain for a fine adjustment of amplitude.
KW  - Spike response model
KW  -  spikes generator circuit
KW  -  fuzzy XOR
KW  -  adaptive fuzzy spiking neuron
KW  -  learning algorithm
KW  -  fuzzy neuron
KW  -  self-tuning

DO  - 10.3970/cmes.2018.00239