David Bryan Mundie

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A neural network IC based on a dynamic charge injection is described. The hardware design is space and power efficient, and achieves massive parallelism of analog inner products via charge-based multipliers and spatially distributed summing buses. Basic synaptic cells are constructed of exponential pulse-decay modulation (EPDM) dynamic injection multipliers(More)
Results are presented from a preliminary study on the effects of weight decay and resolution on the performance of typical three-layer, feedforward neural networks. Two types of decay are investigated, unilateral decay toward the most negative weight (unipolar) and bilateral decay toward the median or zero weight value (bipolar), and compared with Gaussian(More)
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