Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
In this paper, the interpolation mechanism of functional networks is discussed. A kind of fourlayer (with 1 input and 1 output unit) and a five-layer (with double input and single...
Abstract. We have built a realistic computational model of the cerebellum. This model simulates the cerebellar cortex of the size 0.5mm×1mm consisting of several types of neurons,...
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...
Abstract. Some issues about the generalization of ANN training are investigated through experiments with several synthetic time series and real world time series. One commonly acce...
Wen Wang, Pieter H. A. J. M. van Gelder, J. K. Vri...
While synaptic learning mechanisms have always been a core topic of neural computation research, there has been relatively little work on intrinsic learning processes, which change...
Cricket females perform phonotaxis towards the specific sounds produced by male crickets. By means of a well-tuned peripheral auditory system the cricket is able to extract direct...
Ben Torben-Nielsen, Barbara Webb, Richard E. Reeve
Abstract. We characterize the first hardware implementation of a selforganizing map algorithm based on axon migration. A population of silicon growth cones automatically wires a t...