A weakly universal spiking neural P system.
Xiangxiang ZengChun LuLinqiang PanPublished in: Math. Comput. Model. (2010)
Keyphrases
- spike trains
- neuron model
- bio inspired
- hebbian learning
- spiking neural networks
- biologically plausible
- spiking neurons
- single neuron
- network architecture
- feed forward
- learning rules
- biologically inspired
- neural network
- basal ganglia
- hodgkin huxley
- recurrent neural networks
- computational neuroscience
- artificial neural
- swarm intelligence
- cerebellar model
- fuzzy cognitive maps
- information systems
- machine learning
- neural models
- turing machine
- receptive fields
- natural images
- artificial neural networks
- case study
- helmholtz principle