Graduate Thesis Or Dissertation
 

A time-multiplexed switched-capacitor circuit for neural network applications

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  • Analog computation in the form of neural networks is currently receiving much attention. Existing algorithms cannot be easily implemented in hardware because of the large number of neurons needed and the number of connections necessary between them. These problems have motivated development of alternatives to a conventional implementation. Hence, a time-multiplexed switched-capacitor computational block with some neural network characteristics has been developed. The goal of this work is not to exactly model biological neuron qualities but rather to emulate their primary characteristics to the extent necessary to solve some types of problems not suited to digital processing.
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