In the last few years several researchers within the Artificial Life and Mobile Robotics community used Artificial Neural Networks. Explicitly viewing Neural Networks in an Artific...
We present a minimalistic approach to establish obstacle avoidance and course stabilization behavior of a simulated flying autonomous agent in a 3D virtual world. The agent uses v...
Titus R. Neumann, Susanne A. Huber, Heinrich H. B&...
Abstract. The recurrent associative memory networks with complexvalued Hebbian matrices of connections are designed from interacting limitcycle oscillators. These oscillatory netwo...
Margarita Kuzmina, Eduard A. Manykin, Irina Surina
: Substantial evidence indicates that the time structure of neuronal spike trains is relevant in neuronal signal processing. Bio-inspired spiking neural networks are taking these r...
Optical ow elds are a primary source of information about the visual scene in technical and biological systems. In a step towards a system for real time scene analysis we have deve...
Rainer A. Deutschmann, Charles M. Higgins, Christo...
Information in the nervous system has often been considered as being represented by simultaneous discharge of a large set of neurons. We propose a learning mechanism for neural inf...
A new boosting algorithm ADABOOST-R for regression problems is presented and upper bound on the error is obtained. Experimental results to compare ADABOOST-R and other learning alg...