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Concepts in Computational Neuroscience

Computational Neuroscience by Weights and States Motivation One of the simplest ways to model a neural network is to assume some basics Each neuron has a state. A neuron has input from multiple neurons. The effect is a weighted consideration of the input neurons. The network accumulates updates via a stepwise iteration of its components.… Read More »

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