Stability of a threshold-recall control self-organizing recurrent neural network

The stability of a recurrent neural network that is made up of neurons that show the activation recall dependent excitation threshold is studied. The activation function of every neuron in the network is adjusted based on the neuron activation recall. The activation threshold of the neuron is considered to be a function of the neuron activation response. Bias-adjusting neurons and activation-threshold-adjusting neurons are examined