Improved system identification using artificial neural networks and analysis of individual differences in responses of an identified neuron.

负责人：

关键词：

Faculty of Engineering and the Environment > Institute of Sound and Vibration Research > Signal Processing & Control Research Group Faculty of Natural and Environmental Sciences > Biological Sciences Q Science > QH Natural history > QH301 Biology

DOI：

doi:10.5258/soton/385038

摘要：

We analyse the effectiveness of Artificial Neural Networks (ANNs) as a modelling tool for motor neuron responses. We used ANNs to model the synaptic