Case-Based Reasoning
in a Simulation Environment for
Biological Neural Networks *

Oliver Wendel
University of Kaiserslautern
Dept. of Computer Science
P.O. Box 3049
D-67653 Kaiserslautern
wendel@informatik.uni-kl.de

Abstract. This paper presents a case-based simulation environment devised
to assist neurophysiologists in the design and analysis of simulation experiments 
with biologically realistic neural networks. We describe the problem
domain and our specific notion of a case, discuss the complex structure of
such cases and present a method to automatically transform the numerical
raw data derived from simulations into a symbolic behavioral description that
can be used for further inferences by the system.
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