Recent investigations emphasized the role of dendrites in the information processing and computational capabilities of a single neuron. On a local electro physiological level, it is known which computations can be done in dendrites. However, it is still largely unknown how the complete dendritic morphology contributes to the function of a single neuron. In this study we present a synthetic approach to investigate the relationship between morphology and function. Our approach is implemented in a software tool and an experiment is presented. In the experiment we generate morphologies that approximate the functional properties of the Nucleus Laminaris. We discuss the possibilities and limitations of our synthesized approach.
展开▼
