Brownian Motion to Neural Networks: Modeling with Gaussian Packets

The heat equation is one of the fundamental equations in science. Its applications range from harmonic analysis to signal processing in mathematics; from thermodynamics to quantum mechanics in physics; and,  in stochastic descriptions of genetics and population dynamics. I will describe specific solutions of the heat equation, known as Gaussian packets, and show how they arise in a quantum mechanical model of a neural network.

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