IMedTech modeling technique’s needs: Firstly, we will need to quantify each perimeter in the area of the brain that iteration mathematical model needs to focus on. The model would accurately identify the amount of degradation caused by the dementia symptoms in the different areas of the patient’s brain before we can start programming the implant to start retrieving their memories.

As short-term memory has a relatively small capacity, the implant needs to recognize the way each dementia patient’s brain chunking is organized. Achieving this would allow the implant software to reorganize the material into a shorter meaningful group to make chunks more manageable, thereby making it easier to retrieve the short-term memories.

Short-term working memory operates phonologically: For instance, whereas English speaking can typically hold seven digits in short-term memory. Chinese speakers can remember ten digits.

Common memory changes associated with dementia symptoms include:
The difficulty is learning something new, multitasking, recalling names, numbers places and remembering appointments.

Step#1: As memories are 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.

Capacity of short-term memory: research indicates the short-term memory can hold 7+/-2 bits of information. They have also demonstrated that short-term memory can hold whatever is rehearsed in 1.5 to 2 seconds. Larger amounts of information can be held by using the process know as chunking.

For example: if the model groups more significant bits of information into manageable chunks. For instance, consider a challenging letter sequence: C, I, A, A, B. C, F, B, I. This can be chunked into the easily memorized: CIA, ABC, FBI.

“Chunking” of information can lead to an increase in the short-term memory capacity. Chunking is the organization of material into shorter meaningful groups to make them more manageable. For example, a hyphenated phone number, spilt into groups of 3 or 4 digits, tends to be easier to remember than a single long number.

Information in short-term memory is held in a highly accessible state so we can bind features together.

The term working memory is often used interchangeably with short-term memory, although technically working memory refers more to the whole theoretical framework of structure and processes used for the temporary storage and manipulation of information, of which short-term is just one component.

Short-term memory has a limited capacity: which can be readily illustrated by the simple expedient of trying to remember a list of random items ( without allowing repetition or reinforcement) and seeing when errors begin to creep in.

Under these conditions, rehearsal and long-term memory cannot be used to combine stimulus items into chunks of unknown size nor can storage mechanisms that are not capacity-limited, such as sensory memory, allow the capacity-limited storage mechanism to be refilled during a recall.

A single, central capacity limit averaging about four chunks is implicated along with other, non-capacity-limited sources. The pure Short-Term Memory (STM) capacity limit expressed in chunks is distinguished from compound STM limits obtained when the number of separately held chunks is unclear. Reasons, why pure capacity estimates fall within a narrow range, are discussed, and a capacity limit for the focus of attention is proposed.

MedTech is engaged in the designing of a virtual prototype iteration of a device. It is a tiny human implant the size of a grain of rice and as thick as a piece of paper. The idea behind this design is to help dementia patient’s retrieve short-term memories.

Presently there are 50 million people worldwide that have been diagnosed, in the early stages of dementia. These people due to their dementia symptoms cannot remember facts, such as names, dates, and places.

MedTech wants to help these people recall short-term memory loss. To achieve this, MedTech is using state-of-the-art iteration mathematical modeling techniques with embedded learning algorithms, inserted into this tiny implant to trigger and recall short-term memory loss.

Brain signals weaken when some cells wear out, MedTech want to target brain cell known to be “weak link” in patients with dementia brain disorders. The so-called somatostatin-positive neurons, which are involved in coding information, are the first to fail.

The signals from these cells are too weak to be revived by surrounding neurons, which relay the information to other parts of the short-term memory.

This study would target “weak link” brain cells, so-called somatostatin-positive neurons, too strengthen their signals which are involved in coding information so they can be received by the surrounding neurons, with relay the information to other parts of the brain.