Leon O. Chua

Analog combinatorics and cellular automata-key algorithms and layout design

This paper demonstrates how certain logic and combinatorial tasks can be solved using CNNs. The most important application generalizes a shortest path algorithm to design the layout of printed circuit boards. Besides, it is shown how cellular automata can be simulated on CNN, and tasks, such as sorting, parity analysis, histogram calculation of black-and-white images, and computing minimum Hamming distance are also solved.<<ETX>>

Morphological operators on the CNN Universal Machine

We show that the basic morphological operators can be implemented on the CNN Universal Machine. This includes binary morphological operators that were tested and verified on a working CNN Universal chip. We also show different implementation methods for grayscale morphology using different template types.

Random variations in CNN templates: theoretical models and empirical studies

This paper studies the performance of binary image processing CNN templates when the actual template values at each cell are allowed to vary from their nominal values. We examine the validity of one plausible measure of the robustness to random template variations: the minimum absolute value of the current into the capacitor taken over all possible binary state patterns divided by the norm of the template elements. While this measure can be proven to be a valid indicator of robustness for linear threshold templates, its predictive power on the more dynamically complex CCD template is mixed. In some cases, an estimate of the error rate based upon this measure matches remarkably well with the results of numerical simulations. In others, this measure of robustness predicts that one template is more robust than another, while numerical simulations indicate that the opposite is true.<<ETX>>

Random parameter variation in analog VLSI neural networks for linear image filtering

This paper introduces an analytic method to determine the sensitivity to random parameter variations of analog VLSI neural network architectures for linear image filtering. The authors compare the robustness of several different circuit architectures for low pass filtering. This method can also determine which components within a particular architecture should specified the most precisely.<<ETX>>

CNN model for identifying colors under different illumination conditions via Land's experiments

We present a CNN model for separating colors under different illumination conditions. The color model is based on Lands assumption: the individual monochromatic channels are processed separately. However, we use a different channel processing model. The model was evaluated on a Mondrian image.