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Sep 16, 2019 at 1:22 comment added user287279 Oh, btw, perhaps, what we can learn from these various shapes of neurons is that, maybe, to achieve the better or best results, we have to model different types of circuits in neural networks to best suit each functioning module?
Sep 16, 2019 at 1:18 comment added user287279 I think that’s because this model can teach all the important parts of a neuron (dendrite, soma, and axon) fairly completely and easily. Also, although it is not the most common shape of neurons in our brains, many important types of neurons have this shape, such as motor neurons in the brain and spinal cord, ascending sensory neurons in the spinal cord, and descending autonomic neurons in the spinal cord and peripheral nerves. So, they are probably the most familiar shape of neurons that we have dealt with.
Sep 15, 2019 at 17:23 vote accept zooby
Sep 15, 2019 at 17:23 comment added zooby Interesting. I wonder why we are generally only taught one model of the neuron with short dendrites and a long axon.
Sep 15, 2019 at 12:39 history answered user287279 CC BY-SA 4.0