Abstract
Phaf et al. (2001, Connection Science, 13 (4): 293-321) described a self-organizing variant of the CALM modular neural network model (Murre et al., 1992, Neural Networks, 5: 55-82), which has been coined CALMMap. The self-organization mechanism is driven by a specific inhibition gradient formula. The disadvantage of this formula is that it introduces new parameters and is not optimally adjusted to the size of a module. This research note provides an alternative to this inhibition gradient formula, with the benefit that it performs autonomously. In other words, no extra parameters are introduced and the strength of inhibition adapts to the size of a module. Simulations are described to show the effectiveness of the alternative inhibition gradient function.
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