Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition
In: Cognitive Computation, Jg. 1 H. 2, S. 119-127Characterizing the firing properties of an adaptive analog VLSI neuron
In: Biologically Inspired Approaches to Advanced Information Technology, Jg. 3141, S. 189-200Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects?
In: Journal of Software Engineering and Applications, Jg. 7 H. 5, S. 387-395A multi-chip pulse-based neuromorphic infrastructure and its application to a model of orientation selectivity
In: IEEE-Transactions on Circuits and Systems I: Regular Papers, Jg. 54 H. 5, S. 981-993A robust sound perception model suitable for neuromorphic implementation
In: Neuromorphic Engineering, Jg. 7 H. 278, S. 1-10Synthesizing cognition in neuromorphic electronic systems
In: Proceedings of the National Academy of Sciences of the United States of America, Jg. 110 H. 37, S. E3468-E3476A systematic method for configuring VLSI networks of spiking neurons
In: Neural Computation, Jg. 23 H. 10, S. 2457-2497A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity
In: IEEE Transactions on Neural Networks, Jg. 17 H. 1, S. 211-221