The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experime...
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
In this paper, we describe an adaptive approach to gesture for musical applications. Neural Network abstractions and interfaces are implemented in the Pure Data environment which ...
Abstract— This paper introduces a novel design of an artificial neural network tailored for wafer-scale integration. The presented VLSI implementation includes continuous-time a...
Johannes Schemmel, Johannes Fieres, Karlheinz Meie...
We study the dynamics of a simple bistable system driven by multiplicative correlated noise. Such system mimics the dynamics of classical attractor neural networks with an addition...