If he was to let him go deep into the experimental data of brain-computer interfaces and bionic robotic arm to conduct research, Xu Chuan thought he did not have this ability.

He specializes in his profession, even all-round scientists like Newton and Da Vinci who cover many fields still have fields that he does not understand.

The field of biology is indeed not in his academic research.

However, if he could just let him mine data from these experimental data and experimental images and use mathematical tools to analyze the rules in it, he could still do it.

As time passed by little by little, the sky outside the window gradually dimmed.

After spending an afternoon, Xu Chuan completed the preliminary compilation of the data and based on the Hodgkin-Huxley model, the ionic current dynamics formula was formulated.

After processing these, he sent the initial formulas and data he had completed to Chuanhai Network Technology Company.

He took out his cell phone from his pocket and opened the address book. After finding the familiar name from his special attention, he dialed it over.

The phone rang twice and then quickly connected.

"Hello."

The phone was connected, and a gentle voice rang in my ears. Xu Chuan raised a smile on his face and said:

"I sent you an email and ask a few people to help you build a mathematical model according to the contents in the email tomorrow."

"Yeah, OK, I'll see later."

Xu Chuan smiled and said, "Thank you again, I'll treat you to a big meal in two days."

"Then I'll wait."

After chatting for a few words, Xu Chuan hung up the phone without thinking much.

At the same time, on the other side, in a high-end residence in Qixia Mountain New Development Zone, Liu Jiaxin looked at the hanging-up phone and the dark screen, and showed a gentle smile on her face, and turned on the shower shower again.

......

Chuanhai Network Technology Company is very efficient.

In just four days, a complete mathematical model was sent over on the fifth day after Xu Chuan gave the modeling data.

After receiving the model, Xu Chuan directly loaded it on the small supercomputer center at home.

I have to say that there is a supercomputer, even if it is just a small one, is extremely fast in processing various data. This is incomparable to an ordinary computer or even a expensive server.

With the help of Xiaoling, an AI academic assistant, it took less than an hour to fully calculate the relevant data.

"Sure enough, the problem is not on the data conversion of quantum mathematical models and traditional multi-electrode array reset mathematical models."

Staring at the calculation data sorted out on the screen, Xu Chuan's eyes had a 'unexpected' look and muttered softly.

As he expected, the quantum mathematical simulation model he had previously built had no conflict with the traditional multi-electrode array resetting mathematical model built by Xu Xiao himself.

The data conversion of both is quite smooth, and there is no case of enlarging, reducing or modifying the experimental data.

"If the problem doesn't appear here, what exactly caused the interference?"

His eyes fell on the experimental data, and Xu Chuan's face looked interested.

He looked at the previous test of bionic robotic arms and mechanical legs, and the problem Xu Xiao mentioned does exist.

After the brain nerve chip senses that the brain wave signal is converted into electrical signals and transmitted to the bionic robotic arm, abnormal situations do occur.

After looking through these experimental data, Xu Chuan fell into deep thought.

Although brain-computer interface technology is not in his research field, he still understands some general situations.

Put aside the blurred boundaries of human-computer, the protection of spiritual privacy and autonomy, the ethical boundaries of neural intervention and other ethical difficulties.

There are two main problems with brain-computer interface technology.

One is the biocompatibility issue of implanted materials.

For example, materials used in implantable brain-computer interfaces may cause brain rejection, or brain damage caused by movement, etc.

After all, the brain is the most precise of all organs in the human body.

Any external force may lead to serious problems such as brain damage and brain death.

However, this problem does not need to be considered at the moment, because the biological compatibility of materials does not theoretically lead to abnormal conversion and transmission of neural signals.

"Can't the capture of brain wave signals is not comprehensive?"

Looking through the experimental data in the computer, an idea popped up in Xu Chuan's mind.

For brain-computer interface technology, the limitations of neural signal capture are a considerable problem.

An ordinary human brain has about 86 billion neural units, and currently all humans can capture is only a part of it.

This means that there are still a large number of neural signals that cannot be effectively utilized.

In particular, neural networks in the brain are not simple linear superpositions, but involve complex nonlinear relationships.

This makes it difficult to parse the coding that occurs simultaneously.

It is still a big challenge to distinguish the encoding of brain neural signals for specific behaviors from the encoding of other behaviors.

Could there be a problem in this regard?

Thinking about it, Xu Chuan clicked on another file in the information given to him by Xu Xiao, which contained technology developed by her and the team of Xingguang Virtual Technology Company specifically for Xingguang brain-computer interface chips.

A two-section RNN architecture, nonlinear dynamic modeling method.

This technique uses recurrent neural network architecture and training methods to model nonlinear, dynamic modeling, separation and priority of behavior-related neural dynamics, and continuous and intermittent behavioral data.

It can improve the accuracy of neural-behavior prediction and optimize the recognition of original local field potentials in areas that are difficult to achieve in traditional neural signal simulation technologies.

However, even if it is him, it will be difficult to find the problem from these algorithms and experimental data.

After all, on the one hand, this is not a familiar area, and on the other hand, the experimental data of neural signals is a bit large.

Not to mention the rest, the β-wave (beta wave) frequency related to normal awake brain rhythm, which is related to thinking, consciously solving problems, and attention to the external world is as high as 14-30Hz.

It sounds like this data is very small, after all, 14-30 fluctuations per second are nothing for human research and development technology.

However, if the data generated by the brain nerves in combination with the feedback and processing of various external signals and then is a huge amount.

Fortunately, for brain nerve models, most of the data can be classified through different indicators.

Otherwise, it would be unrealistic to process such a huge amount of data through a brain-computer interface chip.

......

In the study, Xu Chuan picked up the already cold tea in the porcelain cup and took a sip of it to moisten his throat, and moved his tired eyes.

"Xiao Ling, please help me watch the data analysis work of the SAS data platform. If there are data that has a data amplitude of more than 5% of the data that has been completed before, please remind me."

"Okay, master! Leave it to Xiaoling!"

In the study, Xiao Ling's voice sounded, Xu Chuan pulled open the chair, walked outside, preparing to take a shower.

I have to say that this is indeed a relatively difficult problem he encountered in applied mathematics.

Almost all brain nerve model data and converted electrical signal data have no problems or abnormalities from a mathematical perspective.

Even if the entire data is analyzed and processed through the SAS data platform, no problem was found.

After eliminating possible errors and problems in data conversion between two mathematical models, for several days, there was basically no new progress in the problems that arise in brain-computer interface technology.

......

After taking a shower and removing all his fatigue, Xu Chuan took out a bag of yogurt from the refrigerator and held it in his mouth and walked towards the study.

It has taken him more than ten days to have problems with brain-computer interface chips. If he can't find the problem in the past two days, he will be ready to put it aside first.

Although failing to solve this problem will affect his image of "omnipotence" in Xu Xiao's mind.

But he has a lot of other work on it, and it is impossible to spend all his time on it.

Just as he was thinking about how to restore his image in Xu Xiao's heart after suspending research, the voice of AI academic assistant Xiaoling in the study was heard.

"Master, there are abnormalities in the experimental data analyzed by the SAS data platform!"

Hearing this voice, Xu Chuan became energetic and asked quickly: "Exception, what data is wrong?"

This damn question has been tormenting him for a long time.

More importantly, he had not found any problem, and it was too uncomfortable for him to do anything.

"Comparison of data of EEG event-related potential signals, there is currently a phase-locked constant waveform data that exceeds the average value, reaching 207.76%.

Upon hearing this, Xu Chuan quickly walked to the computer and said, "Pull it out, I'll take a look!"

"Hey, that's it!"

On the computer screen, Xiaoling quickly extracted the abnormal data from the analysis data.

As he saw an EEG brain wave image came into his eyes, staring at the experimental data in front of him, Xu Chuan's eyes were filled with a hint of strangeness.

"If I remember correctly, it seems to be the ERP potential signal data in the EEG brain wave signal? A fluctuation of 2-10 microvolts. If I remember correctly, this fluctuation seems to be related to basic low-level perception?"

"Yes, master."

Xiaoling's voice rang in the study, and said with some anthropomorphic emotions: "I just checked the brain wave signal data you provided. In the data records, this type of electrical signal fluctuation is an irregular periodic periodic electroencephalogram change fluctuation data spontaneously generated by the human subconscious."

“It is extracted from continuous EEG data, responding to subconscious stimulation of neural signals to specific stimuli, such as pictures or text seen on computer screens.”
To be continued...