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Dr. Chiang developed a technique for lifting the repression on the gene in just one neuron at a time.
A cross-bar is a dense grid of wires, each of which is connected to a neuron at the periphery of the grid.
This is the membrane potential of the neuron at rest (i.e., when it is not generating a nerve impulse), and for this reason it is called the resting potential.
Let (W(r_{j},r_{i})) be the average connectivity strength between neuron at position (r_{i}) and neuron at position (r_{j}).
The 'purelin' function, (f(s)=s), is used for output of the neuron at output layer.
x i ( t ) corresponds to the state of the i th neuron at time t.
where is the learning rate at time step and is the function for topological neighborhood of neuron at time step.
This ensures that the vector field is positive under the boundary control such that the target neuron reaches threshold while keeping the other neuron at (V_{G}).
The constant b i j represents the connection weight of the j th neuron on the i th neuron at time t.
For every j ( 1 ⩽ j ⩽ n ), the j th component of x s is the state of the j th neuron at the moment s.
Finding the BMU: determine the Best Matching Unit (BMU) or winning neuron at the iteration by using Euclidean minimum-distance criterion: (1).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com