Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning

The connections between the frustrated chaos and the intermittency chaos in small Hopfield networks

Neural Networks

Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Learning from Chaos: A Model of Dynamical Perception

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Real-time computation at the edge of chaos in recurrent neural networks

Neural Computation

Structure and Dynamics of Random Recurrent Neural Networks

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems

The road to chaos by time-asymmetric Hebbian learning in recurrent neural networks

Neural Computation

A mathematical analysis of the effects of hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks

Neural Computation

Enaction-Based Artificial Intelligence: Toward Co-evolution with Humans in the Loop

Minds and Machines

Intrinsic adaptation in autonomous recurrent neural networks

Neural Computation