Universal computation and other capabilities of hybrid and continuous dynamical systems
Theoretical Computer Science - Special issue on hybrid systems
On the computational power of circuits of spiking neurons
Journal of Computer and System Sciences
Movement Generation with Circuits of Spiking Neurons
Neural Computation
Isolated word recognition with the Liquid State Machine: a case study
Information Processing Letters - Special issue on applications of spiking neural networks
Can't get you out of my head: a connectionist model of cyclic rehearsal
ZiF'06 Proceedings of the Embodied communication in humans and machines, 2nd ZiF research group international conference on Modeling communication with robots and virtual humans
On the capacity of transient internal states in liquid-state machines
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Evolving spiking wavelet-neuro-fuzzy self-learning system
Applied Soft Computing
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This review addresses structural differences between that type of computation on which computability theory and computational complexity theory have focused so far, and those computations that are usually carried out in biological organisms (either in the brain, or in the form of gene regulation within a single cell). These differences concern the role of time, the way in which the input is presented, the way in which an algorithm is implemented, and in the end also the definition of what a computation is. This article describes liquid computing as a new framework for analyzing those types of computations that are usually carried out in biological organisms.