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Explores the mathematical framework and challenges of modeling neurons, discussing passive and active membrane mechanisms and the representation of the membrane as an electrical circuit.
Explores neuron classification in in silico neuroscience, emphasizing challenges in reconstructing neuronal morphologies and the importance of accurate classifications.
Covers the history and inspiration behind artificial neural networks, the structure of neurons, learning through synaptic connections, and the mathematical description of artificial neurons.
