Progress is good, but I see nowhere that they'll study what happens with the brain/brainchemistry. That worries me a bit as studying the chemistry of our muscles alone (if that would be the design of the study) might obscure the complexity of our disease and yield yet another excuse to say we're perfectly fine. Maybe I'm a bit negative now.
Another major part not studied yet is the effect of poor neuron mithochondrial functioning on body motion. The brain works as a huge neural net. In Artificial Intelligence, deep neural nets are often used. They are a simplified form/mimicking of what happens in our brains. What is important here is following:
* Neural nets need large amounts of training, equivalent with human learning
* Once trained, the accuracy of performing a learned action is very sensitive to the exact strength of the neurons.
* Mytochondria of neurons going to Dauer/CDR may well equate to neurons losing their strength.
* The above may lead to a severe drop of precision in brain functioning and calculation power.
* Complex movements require huge amounts of computational power. There is for example no single human-moving-like robot in the world that can climb a set of different stairs. There ain't a robot with human-like hands that can peel an apple neither. Both are still too computational complex.
* Overexerted neurons may therefore quite likely lead to inability to do task precise and/or fast. That was exactly what happened at my biggest worsening ever: I did not know anymore how to walk around my bed or to stand up from the table. I had to relearn it and it took minutes the first time what should have taken seconds. I had to decompose the task in smaller less complex tasks. Less complex tasks are exponentially cheaper to perform computation wise so that remained OK. I for example could still put on my socks standing on one feet. This happens to be a sequential list of simple tasks so computationally very cheap.
* Overexerted neurons should also be very poor at the complex process of recognizing for example visual objects. Again, we are very poor at recognizing details in what we see fast enough. This leads to poor reaction time and sensory over stimulation: if we for example mis a car coming too close in time, the brain must reprocess all information even faster as there is no time left to avoid a dangerous accident. The already weakened brain must work in emergency mode and pull all reserves on a daily basis. That is a recipe for frequent fight-or-flight.
=> As no-one seems to study the effect of varying/diminishing neuron strength from a neural network viewpoint on mental and physical performance I'd like to see it done sooner than later. One may be tempted to think that for example a 20% drop/variation in neuron strength may only lead to a 20% drop in performance but that could be very very much more detrimental.
Another major part not studied yet is the effect of poor neuron mithochondrial functioning on body motion. The brain works as a huge neural net. In Artificial Intelligence, deep neural nets are often used. They are a simplified form/mimicking of what happens in our brains. What is important here is following:
* Neural nets need large amounts of training, equivalent with human learning
* Once trained, the accuracy of performing a learned action is very sensitive to the exact strength of the neurons.
* Mytochondria of neurons going to Dauer/CDR may well equate to neurons losing their strength.
* The above may lead to a severe drop of precision in brain functioning and calculation power.
* Complex movements require huge amounts of computational power. There is for example no single human-moving-like robot in the world that can climb a set of different stairs. There ain't a robot with human-like hands that can peel an apple neither. Both are still too computational complex.
* Overexerted neurons may therefore quite likely lead to inability to do task precise and/or fast. That was exactly what happened at my biggest worsening ever: I did not know anymore how to walk around my bed or to stand up from the table. I had to relearn it and it took minutes the first time what should have taken seconds. I had to decompose the task in smaller less complex tasks. Less complex tasks are exponentially cheaper to perform computation wise so that remained OK. I for example could still put on my socks standing on one feet. This happens to be a sequential list of simple tasks so computationally very cheap.
* Overexerted neurons should also be very poor at the complex process of recognizing for example visual objects. Again, we are very poor at recognizing details in what we see fast enough. This leads to poor reaction time and sensory over stimulation: if we for example mis a car coming too close in time, the brain must reprocess all information even faster as there is no time left to avoid a dangerous accident. The already weakened brain must work in emergency mode and pull all reserves on a daily basis. That is a recipe for frequent fight-or-flight.
=> As no-one seems to study the effect of varying/diminishing neuron strength from a neural network viewpoint on mental and physical performance I'd like to see it done sooner than later. One may be tempted to think that for example a 20% drop/variation in neuron strength may only lead to a 20% drop in performance but that could be very very much more detrimental.