In this paper we investigate small depth linear threshold element networks for multi-operand addition. We consider depth-2 linear threshold element networks and block save addition. We improve the overall cost of the block save addition, both in terms of gates and wires (actually the number of gates each multiplied by its number of inputs), with the inclusion of the telescopic sums proposed by ...

S. Vassiliadis J. Hoekstra S. Cotofana Electrical Engineering Dept. Delft University of Technology Mekelweg 4, 2628 CD Delft The Netherlands. Abstract In this paper we investigate small depth linear threshold element networks for multi-operand addition. In particular, we consider depth-2 linear threshold element networks and block save addition. We improve the overall cost in terms of gates and...

Dynamics with a threshold input-output relation commonly exist in gene, signal-transduction, and neural networks. Coupled dynamical systems of such threshold elements are investigated, in an effort to find differentiation of elements induced by the interaction. Through global diffusive coupling, novel states are found to be generated that are not the original attractor of single-element thresho...

Any switching function can always be realized by a single multithreshold threshold element possessing a suitable number of thresholds. However, the practical realization of such elements often presents serious difficulties; as such it becomes more convenient to realize the given function in the form of a network of multithreshold threshold elements, each possessing fewer thresholds. In this pap...

It is generally believed that a neuron is a threshold element that fires when some variable u reaches a threshold. Here we pursue the question of whether this picture can be justified and study the four-dimensional neuron model of Hodgkin and Huxley as a concrete example. The model is approximated by a response kernel expansion in terms of a single variable, the membrane voltage. The first-orde...

In geochemical exploration, there are various techniques such as univariate and multivariate statistical methods available for recognition of anomalous areas. Univariate techniques are usually utilized to estimate the threshold value, which is the smallest quantity among the values representing the anomalous areas. In this work, a combination of the Sequential Gaussian Simulation (SGS) and Gap ...

Circuits of threshold elements (Boolean input, Boolean output neurons) have been shown to be surprisingly powerful. Useful functions such as XOR, ADD and MULTIPLY can be implemented by such circuits more efficiently than by traditional AND/OR circuits. In view of that, we have designed and built a programmable threshold element. The weights are stored on polysilicon floating gates, providing lo...

Change blindness is the failure of observers to notice otherwise obvious changes to a visual scene when those changes are masked in some way (eg by blotches or a blanking ofthe screen). Typically, change blindness is taken as evidence that our representation of the visual world is capacity limited. The locus of this capacity limit is thought to be visual short-term memory (vSTM). The capacity o...