Neural Networks - 2004 Special issue: New developments in self-organizing systems
Polychronization: Computation with Spikes
Neural Computation
Neural Networks - 2006 Special issue: The brain mechanisms of imitation learning
Neural substrates for action understanding at different description levels in the human brain
Journal of Cognitive Neuroscience
Simple model of spiking neurons
IEEE Transactions on Neural Networks
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Embodied action representation and action understanding are the first steps to understand what it means to communicate. We present a biologically plausible mechanism to the representation and the recognition of actions in a neural network with spiking neurons based on the learning mechanism of spike-timing-dependent plasticity (STDP). We show how grasping is represented through the multi-modal integration between the vision and tactile maps across multiple temporal scales. The network evolves into a small-world organization with scale-free dynamics promoting efficient inter-modal binding of the neural assemblies with accurate timing. Finally, it acquires the qualitative properties of the mirror neuron system to trigger an observed action performed by someone else.