As I understand it, AI 'neurons' have nothing to do with IRL neurons other than a passing nod to the name loosely based on the idea that 'they are connected to each other'. A neural net is nothing other than an (very) approximate model loosely based on our understanding of IRL neurons. There are many many ways a real neuron could be resonding to it's environment to do what it does, whereas our artificial 'neurons' are just a mathematical function.
I would image then, trying to imbue our neural networks with the properties of real neurons is a futile ambition?
I would image then, trying to imbue our neural networks with the properties of real neurons is a futile ambition?