Welcome:

How to get the brain remember which way to go

According to our model predictions, we can retrieve 30% of memory loss, which can help a patient remember their house number and zip code but not its location.

Medtech is developing new spatial navigation algorithm to help the patient navigate back to their home location.

The model is incorporating a technique, known as brainwaves aid navigation, which is to become a finite element of the MedTech model update.

This technique based on research that found that the brain appears to implement a GPS for spatial navigation; however, it not fully understood how it works. Although scientist now suggests that rhythmic fluctuations in the brain activity, so-called theta oscillations, play a role in this process.

The reactivation of the brain activity for different object-location pairs occurred at different points of time during the theta cycle. Therefore, theta oscillations may coordinate the reactivation of different memories, what more, may help distinguish between competing memories.

Subsequently, the MedTech model will be designed to record neuronal activity during a navigation task in virtual reality.

The house number and zip code can trigger spatial navigation to locate operations in a virtual environment, as the brain reactivates the location-specific activity patterns.

Should the Medtech models be able to distinguish between competing memories? It would be a significant step forward in disorientation and short-term memory loss; although it is essential to gain a full understanding of the underlying neuronal mechanism.

This technique could benefit patients suffering from neurodegenerative disorders in the future.

Acknowledgments

A team headed by Dr. Lukas Kunz, Universitätsklinikum Freiburg, and Professor Nikolai Axmacher, Head of the Department of Neuropsychology at Ruhr-Universität Bochum, published their findings on 3 July 2019.

Research Breakthrough

Dementia: 30% improvement in memory recall…

The model predicted a significant improvement of 30% in memory recall. Trying to recover more than 30% is proving more challenging, and further research is necessary.

The implant has state-of-the-art iteration mathematical modeling techniques, with an embedded learning algorithm. It also has a multi-site spatiotemporal code designed to mimic specific memory-related neural ensemble firing patterns. Can restore, and improve function via facilitation of memory encoding using the patient’s own hippocampal spatiotemporal neural codes.

Neuroscience Research Study

Read more> research paper:

Open sharing of scientific data and standard methods will allow researchers to collaborate on this project and accelerate the understanding of recalling short-term memories…

Helping dementia patient’s to recuperate, Short-Term Memories:

Studies Summary

This research study goals, are to assist people diagnosed in the early stages of dementia, regenerate loss memories.

The study focuses on an area of the brain, known as the hippocampus and hippocampal, these are essential of the consolidation of both short-term and long-term memories. This study focal point is on the short-term memories.

We want to help dementia patient’s get their memory back and regain, their independence, and the ability to take care of themselves.

Timely diagnosis is essential, as treatments and intervention are more effective in the first stages of the disease. However, early diagnosis of memory loss has proven to be challenging.

All short-term memory first encoded into a temporary memory store called short-term memory. Short-term memories decay quickly, (1min) and only have a capacity of three or four bits at a time.

Researches have identified that short-term memory can hold 7+/-2 bits of information. They have also demonstrated that short-term memory can hold whatever is rehearsed into 1.5 to 2 seconds. Lager amounts of information can use a process known as chunking.

If a group of more significant bits of information is placed into manageable chunks, for instance, consider a challenging letter sequence: C, I, A, A, B, C, F, B,I, which can be chunked into the easily too memorized: CIA, ABC, FBI.

To retrieve short-term memories, MedTech has designed an intelligent prototype implant to regenerate short-term memories. It is a tiny human implant the size of a grain of rice and as thick as a piece of paper.

Incorporated into implant we used artificial intelligence mathematical modeling techniques, with an embedded learning algorithm. It also has a multi-site spatiotemporal code designed to mimic specific memory-related neural ensemble firing patterns. This can restore, and improve function via facilitation of memory encoding using the patient’s own hippocampal spatiotemporal neural codes.

Incorporated into this tiny implant, MedTech is using artificial intelligence modeling techniques, along with vectors and embedded learning algorithms.

MedTech has added a multi-site spatiotemporal code designed to mimic specific memory-related neural ensemble firing patterns. Which can restore, and improve function via facilitation of memory encoding using the patient’s own hippocampal spatiotemporal neural codes?

Using Artificial Intelligence in this tiny implants,’ this software allows MedTech to use a series of processes by which the hippocampus encodes memory items via spatiotemporal by the firing of neural ensembles that underlie the successful encoding of short-term memory.

Encoding short-term is an essential first step in the development of a neural human prosthetic implant for regaining memory, which utilizes the information content of the hippocampal neural ensembles like dementia.

This is an important first step in the development of a neural human prosthetic implant for regaining memory which utilizes the information content of the hippocampal neural ensembles like dementia.

Academic paper read more>

Acknowledgments & References

Lucia M Li, David W Carmichael, Romy Lorenz, Robert Leech, Adam Hampshire, John C Rothwell, David J Sharp, Externally induced frontoparietal- Synchronization modulates network dynamics and enhance working memory performance.small study, published in the journal eLife. Professor S Daivd Sharp Neurologist in Imperial’s Department of medicine.Ryan Leach of Loyola University; Matthew McCurdy of UIC; along with Laura Matzen and Michael Trumbo of Sandia National Laboratories are co-authors of the paper. Funding: The research was supported by a National Institute on Aging grant (P30AG022849) provided through the Midwest Roybal Center for Health Promotion and Translation.Source: Brian Flood – University of Chicago at Illinois Publisher: Organized by NeuroscienceNews.com.Image Source: NeuroscienceNews.com image is credited to UIC. Original Research: Open access research in Journal of Gerontology: Psychological Sciences and Social Sciences. The results were presented at the 2019 meeting of the American Association for the Advancement of Science. Chemicals ‘repair damaged neurons in mice’ The results were presented at the 2019 meeting of the American Association for the Advancement of Science. Professor Duran has studied the hippocampus – the area that deals with memory – for 40 years. Wake Forest Baptist Medical Center, Winston-Salem, NC, United States of America. 2 University of Southern
Benjamin Franc, M.D., from UCSF, approached Dr. Sohn and University of California, Berkeley, undergraduate student Yiming Ding through the Big Data in Radiology (BDRAD) research group, a multidisciplinary team of physicians and engineers focusing on radiological data science. Dr. Franc was interested in applying deep learning, statistics from the World Health Organization.

Sixth generation cybernetic heart research…

I’ve just completed the design of my sixth generation cybernetic heart concept. Which is built on a completely new research method? This micro-pulsing system is not just innovative, it also a technology breakthrough.

This new design: Its miniature; compared to the older, fifth generation cybernetic heart, mainly suitable for adult’s use. The sixth generation cybernetic heart is designed to fit teenagers left heart ventricle.

This heart implant is designed, to transform the lives of 122.796 patients, who wait for heart transplantation.

How does it work?

The devices tiny micro-pulse tube is inserted via a small insertion into the groin. Then maneuver carefully into the patient’s aortic valve.

Once in position, a valve is triggered to expand it to replace the patient’s Aortic valve, securing the implant in place.

The lightweight tubular design, with a valve in the side, that opens to allow oxygenated blood flow in from the hearts right ventricle.

A micro-pulsing system propels an internal slider.  This inner slide, now full of compressed blood pressure, which has built up to 120/80 mmHg, releases the Aortic Value allowing the blood to flow around the body.

The device uses artificial intelligence software to calculate or recalibrate a person’s bpm heart rate, based on a person, age or when their fitness levels change.

Inserted into the implant is a tiny 5G SIM card, which transmits, the patient’s heart rhythmic pulses. There’s, also an alarm system which is triggered shows the device has a malfunction.   

The device continually transmits data, which is appertaining to its performance. This data is constantly monitored by a remote cardiac unit 24/7.  This cardiac unit also introduce’s upgrades, to the device software management system.

Noteworthy

However, this surgical implant, will not be suitable for all patient’s at are awaiting heart transplantation surgery.

This will be dependent on the amount of damage inflicted on the heart muscles by patient’s prior cardiac arrests.

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