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Neural Control - Science topic
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We traditionally think of bones as rigid structures that support the body. However, recent discussions suggest they may also play a role in sensory feedback, proprioception, and force regulation.
💡 Key observation:
🔹 Bone-conducted vibration is up to 30 times faster than neural proprioception.
🔹 If this is true in the jaw, could it also apply to other body parts?
📌 Potential Applications:
✅ 1. Sensory Compensation in Neuropathy:
- Could bone vibrations provide an alternative feedback mechanism for patients with diabetic neuropathy or peripheral nerve damage?
✅ 2. Balance & Posture in the Visually Impaired:
- Blind individuals rely heavily on foot pressure and body posture.
- Could bone-conducted feedback assist with maintaining balance when visual input is absent?
✅ 3. Prosthetic Limb Control:
- Amputees often struggle with lack of sensory feedback from prosthetics.
- Could incorporating bone-conducted vibrations into prosthetic design enhance sensory perception?
✅ 4. Athletic Performance & Force Optimization:
- Elite athletes depend on precise proprioception for movement efficiency.
- Could targeted bone vibration stimulation improve their force control?
🚀 Are we underestimating the sensory role of bones?
👉 Could bone-conducted vibration be a hidden feedback system we’ve overlooked?
Would love to hear insights from neuroscientists, physiologists, and orthopedic specialists! 🔬
I am doing my first research project and would like to create a dynamical system simulating the human respiratory system to identify weaknesses.
After doing tons of reading, I have identified the major components being lung volume, airway pressure, airflow radius, diaphragm movement, lung compliance, airway resistance, neural control signals. However to create a model I need to have specific equations to represent the relationship between these different components.
Additionally, I would also like a dataset to test the validity of the model when complete.
I have been reading a lot of journals on human respiration but can't find any specific information to help me figure out the relationship in interactions between the different components.
Most of the reading is long and ended up being a waste of time where I got little to no understanding and didn't contribute to my project.
Could a experienced researcher give me some advice and guidance?
I am currently working on my undergraduate thesis which involves the "Non-Linear Neural Control of a Quadratic Tank Process with Delays using Internal Model Control". I have obtained the mathematical models for the plant under minimum phase and non-minimum phase operating conditions. The transfer function of the plant is a 2x2 transfer function matrix.
However, as a beginner, I am quite confused about the next step to take towards representing the built models in MATLAB & SIMULINK, obtaining data from the built models in MATLAB&SIMULINK, the algorithms to use to train the neural networks for modeling the plant, and the controller in the IMC structure, and how to validate the performance of the neural network algorithms generally.
I will appreciate any help or pointers to help me resolve my dilemma, Thank you!
If we fabricated a bench scale chemical process, will it give the same characteristics as of the production scale one?
We are plannig to make a graduation project that is based on the application of advanced control (fuzzy,neural) in the process engineering (specially, Ethanol fermentation from molasses). We thought that fabricating a bench scale process will give similar data, charactristics and measurement as the production scale, correct us please?
In the paper which is attached in simulation results section, four sigmoid activation functions are introduced but all of them are for scalar input (and using such sigmoids the method just works for systems with one state variable ) so if one decides to apply this controller (Neuro-adaptive controller) to a dynamic system with higher orders(2,3,....),what should be the form of sigmoid activation functions?
I would enjoy think tanking with you if I have peaked your interest.
Dennis (Dr Sha) (Dennis Shavelson DPM)
Each of us has special abilities and talents. someone understands Mathematics well and another person is a good painter. But what is the reason that makes these differences? Do we have Different Neurons from others in our brain? Or we have developed or improved parts in it?
What kind of projects are out there in neural system analysis?
What are the take aways?
I know it can be applied to many of the industries, commercials, and at home.
But I am bit vague or cannot grip on what the term stands for and what can be done within.
I honestly thought neural systems are somewhat related to bioengineerings.
Would you kindly give some explanations??
When are multi-layer cellular neural networks the same?
Why is distributed control necessary in automation of energy distribution systems? How would you distribute the automation logic across many controllers?
How to prove the stability of the whole system?
My original research which is focused on assessing the performance of building from the perception of elderly and the disabled using neural computation is getting some challenges and becoming more interesting with an increased knowledge of artificial intelligence, data mining and machine learning. I am getting stronger in conviction to adopt and a new title/methodology - I need suggestions. For now I have proposed Building Performance - Machine Learning Based & Elderly / the disabled's Approach.
It has zero delayed inputs and zero delayed outputs. Plus My network model has 4 inputs and 3 outputs, but while simulating/ plant identification in MATLAB's any of 3 controllers, it gives error, that it should have only 1 inport and 1 outport. Moreover 0 delayed input is not considered valid.
Moreover, how can I create some other NN Controller except from available controllers in MATLAB?
P.S. Kindly forgive if it is a basic and stupid question, but I am at a beginner's level, so cannot find the solution.