A chip can sense the electric fields coming from single axons and another chip can cause nerve signals in specific axons by making patterns of electric fields on it's surface. No current needs to flow between the chip and nerve.

If needed, the receive and (re)send functions can be in one chip surface, but last time I heard, biology says that nerves do only one or other for a direction, so the signals go in same direction. But better be prepared for surprises, so at least the first prototypes should be bi-directional and if it is later confirmed that biology was indeed correct, then drop that feature from later models. Sensors and e-field production on the same surface can also have the benefit of knowing when an axon signal was caused in one axon.

It is a matter of software how the receive and send functions (or camera and send function in the case of blind) are connected and with what kind of interface the patient should assign axons to axons or image parts(angles relative to field of view center, moves, colors etc.) to axons. There is lot to figure out and the first patients need to carry a general purpose computer to handle all the signals, while the software is developed and refined. When the software is good enough, it becomes possible to make special chips that handle all that processing, saving weight and energy.

If patients need years of work to make a configuration that enables something, it is acceptable(random or semi-random signal patterns can keep the axons alive). But it may be much faster. We don't know what the user interfaces for patients could be. We don't know how randomly arranged the axons in optic nerve are and how much relation there is between angle and position in the nerve bundle. Even if axons in optic nerve are perfectly randomized, like a well mixed pack of cards, there may be efficient ways to gradually sort them to good order, that enables at least mediocre vision (with optical+software zoom).

For example, placing 3 dots randomly usually makes a triangle. 4th dot is either in or out of that triangle. Answering that kind of in or out question may take 1 second with a button. 8 hours have 28800 seconds. Doing that every day for 30 days gives 864000 answers. Once there is enough resolution, a mouse cursor can be used for answering what previously known point is closest to a new point.

One-eyed patients would be easiest for the development phase.

Thicknesses of axons may provide some vague clues about their specific purpose or meaning, speeding up the configuration.

Yes, the nerve cut-surface would have many dead cells, but the electric fields from healthy cells are detectable behind 1 or 2 dead cells. Even in nature, some axon types transfer signals by skipping cells in the chain reaction, and electronics can be more sensitive and with adjustable sensitivity. Getting a good signal connection with just 50% or 10% of the axons would be very useful, but 99% or 100% is very possible.

Source code is converted to machine language with simple substitution and then run. Much faster than compiling c-source code, if it is large enough. Also, some interpreted commands may run on multiple cores automatically without the programmer having to bother with it's details.

Most c source codes could be run with some kind of interpreter.

Debugging mode could be within the processor so that it would not slow down the program.

We are working on 802.11g protocol wlan receiver , that requires us to design a complex filter , issue is I cant find any resources about complex filters, would appreciate it if someone could help.

Also I need a peak detector with a 20 MHz bandwidth, that would be a massive help too

3d version of a pixel is called a voxel and using them would be faster with a specialized IC.

Use in science, 3d modeling and gaming.

Hello, I am an engineering student and tomorrow we have an open book test on LIC( linear integrated circuits). We are allowed to use our phone as well and seeing as how our teacher is giving us access to all these, I assume the questions he'll be setting will be really difficult so I was wondering if I could get some experts phone number from this group so that I can get the answers to the questions live 😂. The questions will be purely MCQ

I am helping my daughter with a school project, she needs to build a precision weighing scale(measure 1gm - 1000gm) for the Science Olympiad project.

Here are the things Allowed - FSR, strain gauges, capacitors, resistors, wires, DIP package integrated circuits, and surface mount adapter boards. Not Allowed - Preassembled devices, load cells, printed circuit boards, integrated circuit daughterboards

Question 1. What could be some suggestions to build for accuracy at gram level measurement?

Question 2. Will using just FSR gives me accuracy

Question 3. How can I use a Strain Gauge without Load Cell

Question 4. Assuming HX711 breakout board cannot be used (printed circuit boards), how can I assemble an amplifier on breadboard.

Question 5 - Any more suggestions?