No. Are you really expecting to be taken seriously when you don't understand the basics of what you are talking about?What do you mean by Deep Neural Networks? Are you talking about AI?
Our brains are neural networks. We've understood that for over 100 years. Humans have about 100 billion neurons, and they form the basis of our intelligence. Each one is a very simple cell. It only does one of two things - it fires or it doesn't fire. Sometimes it fires quickly. Sometimes it fires slowly. Sometimes it doesn't fire at all. It 'decides' how to fire via simple algorithms - if nearby neurons fire and they are close enough, or they fire often enough, then the neuron fires.
Decades ago researchers built neural networks in hardware. The early ones were single layer. They could be trained to recognize words, identify faces and recognize objects in digital pictures. This, for the first time, enabled machine learning - a system that could learn to do things without being programmed to do so. A network was merely "shown" a picture and "rewarded" when it got the right answer. After enough iterations, the neural network could recognize certain pictures/faces/orientations - without ever being programmed to do so.
More recently engineers have built deep neural networks - neural networks that have several layers, like our brain does. These can also be trained, but they are far more capable. For example, they can recognize faces in any orientation. They can tell races and sexes apart. They drive Teslas, they fly airplanes and they talk back to you when you ask your Alexa a question. Engineers and scientists have been using the brain for a model and have been emulating parts of it (like the visual cortex.) The more biologists learn about our connectome, the more neural network scientists modify their networks to run more like human brains do.
AI is any machine intelligence, from a thermostat to adaptive cruise control to a smart watch. Neural networks are a specific implementation of compute which can be used for AI. Deep networks are multilayer neural networks that are being based more and more often on the human brain.
?? Are you blind? I did process it and have answered you several times about it. Neurons contain microtubules. They also contain sodium, and mitochondria, and DNA, and endoplasmic reticuli, and ATP, and a cell membrane. Take away ANY of those things and the neuron stops working. Thus all are equally important for consciousness.All Biological Neural networks consist of microtubules, intermediate filaments and microfilaments. That's what I have been telling you all along. Why are you unable to process that?
The common thread here is that it is the NEURON - the fundamental atomic element of any neural network - that allows for learning and for that emergent property we call consciousness. If you could replace a neuron's microtubules, sodium, nucleus or mitochondria with something that does the same thing, then you'd still be conscious. If you could replace neurons entirely with a silicon based system (that functions the same way) then again you'd still be conscious. It is the NEURON, not microtubules (or any other fragment of a neuron) that allows consciousness.
You should stop posting stuff you don't understand.Here is talk about deep neural function of microtubules.