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Real-time application of biology-inspired neural networks using an emulator with dedicated communication hardware

: Scholles, M.; Hosticka, B.J.; Schwarz, M.


Marks, R.J. ; IEEE Circuits and Systems Society:
IEEE International Symposium on Circuits and Systems 1995
Piscataway: IEEE Press, 1995
ISBN: 0-7803-2570-2
ISBN: 0-7803-2571-0
ISBN: 0-7803-2572-9
International Symposium on Circuits and Systems (ISCAS) <28, 1995, Seattle>
Fraunhofer IMS ()
adaption; adaptive systems; biocybernetics; Biokybernetik; Impulsfolge; learning; Lernen; mathematisches Modell; neural network; neuronales Netzwerk; pulse train; range; Schallortung; signal delay; Signalverzögerung; sonar; sound location; sound navigation

In this contribution we present a new biology-inspired neuron model and its real-time realization using a dedicated neural hardware emulator. The biological neuron model overcomes the limitations of classical neuron models by including dynamic features such as adaptive synaptic delays. The emulator used for its realization is based on a special communication processor optimized for the global exchange of pulse messages between neuron processors. The use of the model together with the emulator in real-time adaptive signal processing will be shown using an example in the field of fault-tolerant adaptive beamforming.