Machine Learning Is Not Like Your Brain Part 5: Biological Neurons Can't Do Summation of Inputs - KDnuggets

Fundamental to all ML systems is the idea that the artificial neuron, the perceptron, sums the weighted signals from the various input synapses. Admittedly, there are a few cases where this appears to work in a biological neuron model. The biological neuron has a membrane potential or voltage which I'll call its "charge." The neuron accumulates charge from its input synapses and the various synapses have "weights" corresponding to the amount of charge they contribute. The synapse weight may be positive or negative.