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We explore the emergence of behaviours in a chaos driven robot. A two neurons neural network exhibits a rich variety of dynamics when stimulated with input. We linked the phase space of the network to two behaviour activation levels. A people detector is the input to the network. The results are surprising and they contradict the expectations, which is a clear signal of the emergence of non-programmed...
The complex-signum function has been widely used as an activation function in complex-valued recurrent neural networks for multistate associative memory. This paper presents two alternative activation functions with circularity. One is the complex-sigmoid function based on a multilevel sigmoid function defined on a circle. The other is a characteristic of a bifurcating neuron represented by a circle...
This paper deals with the problem of exponential stability for a class of discrete-time recurrent neural networks with time-varying delay by employing an improved free-weighting matrix approach. The relationship among the time-varying delay, its upper bound and their difference is taken into account. As a result, a new and less conservative delay-dependent stability criterion is obtained without ignoring...
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