Convolutional Associative Memory: FIR Filter Model of Synapse
نویسندگان
چکیده
In this research paper, a novel Convolutional Associative Memory is proposed. In the proposed model, Synapse of each neuron is modeled as a Linear FIR filter. The dynamics of Convolutional Associative Memory is discussed. A new method called SubSampling is given. Proof of convergence theorem is discussed. An example depicting the convergence is shown. Special cases to the proposed convolutional Associative memory are discussed. A new vector Hopfield Associative memory is proposed. Some potential applications of the proposed model are also proposed.
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