Neural Autopoiesis: Organizing Self-Boundaries by Stimulus Avoidance in Biological and Artificial Neural Networks.
Atsushi MasumoriLana SinapayenNorihiro MaruyamaTakeshi MitaDouglas J. BakkumUrs FreyHirokazu TakahashiTakashi IkegamiPublished in: Artif. Life (2020)
Keyphrases
- artificial neural networks
- biologically plausible
- neural network
- feed forward
- artificial neural
- bio inspired
- network architecture
- learning rules
- spike trains
- neural models
- neural network model
- using artificial neural networks
- back propagation
- mathematical modeling
- biologically inspired
- computational intelligence
- biological systems
- activation function
- multilayer perceptron
- synaptic weights
- genetic algorithm ga
- hebbian learning
- genetic algorithm
- molecular biology
- object boundaries
- application of artificial neural networks
- systems biology
- feed forward neural networks
- neural fuzzy
- biological data
- radial basis function
- spiking neural networks
- artificial intelligence
- neural computation
- spiking neurons
- image sequences
- recurrent neural networks
- fuzzy systems
- data sets