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Perceptrons revisited

There is more to perceptrons than hinted at in the early Minsky and Papert work.


Generative adversarial nets

GAN to GAN communication and backpropagation.


Layered synaptic weights

Discussion of strategies as number of layers approaches infinity.


Stochastic differential equations

Use of stochastic processe models in neural networks is common. In this article I show how the probability density function collapses with epidemic spread of fault in the network.


Haecceity and causality

The problem of loose coupling and how fuzzy Feynman diagrams can be turned into a priori descriptors of neural pathways.