Evolving spiking neural networks for taste recognition

@article{Soltic2008EvolvingSN,
  title={Evolving spiking neural networks for taste recognition},
  author={Snjezana Soltic and Simei Gomes Wysoski and Nikola K. Kasabov},
  journal={2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)},
  year={2008},
  pages={2091-2097}
}
The paper investigates the use of the spiking neural networks for taste recognition in a simple artificial gustatory model. We present an approach based on simple integrate-and-fire neurons with rank order coded inputs where the network is built by an evolving learning algorithm. Further, we investigate how the information encoding in a population of neurons influences the performance of the networks. The approach is tested on two real-world datasets where the effectiveness of the population… CONTINUE READING

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