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6 Potential Applications Of Spiking Neural Networks


Computers are changing the world; there’s no doubt about that. They’re powerful and can accomplish tasks that are too complicated for the human brain.

While it may sound confusing at first, it’s relatively easy to understand the basic concept of the term ‘spiking neural networks.’ It’s a type of artificial intelligence.It may come as a surprise, but this has little to do with living organisms. Spiking neural networks are artificial networks designed and modeled to be as close as possible to what we understand about natural neural networks.

Essentially, the goal is to create an artificial network that can learn and think like a person, but with the processing power provided by modern technology. Spiking neural networks can accomplish some incredible feats. Here are six of them:

  1. Deep Learning

Deep Learning refers to a subsection of machine learning that utilizes advanced algorithms and neural networks.Spiking neural networks are designed to mimic the network of neurons in the human brain. As such, they’re made to be capable of advanced deep learning. They can be designed to analyze data and learn the same way we do but in amuch faster way than we’re capable of doing it.

Neural networks are growing and advancing. As technology gets better, they can handle even more complex tasks and sieve through unimaginable amounts of data.

  1. Use In Health Care

Neural networks have already been integrated into medical technologies.

Spiking neural networks are an incredible asset to medical doctors and can help with the early detection and diagnosis of different medical conditions and diseases.

These new technologies can detect and diagnose diseases more accurately than some of the most highly trained medical professionals.They’re often used to detect potential cancer and heart problems.Imagine if this technology were incorporated into every regular full-physical checkup. Early detection means that doctors can begin treating illnesses and conditions that could’ve grown into life-threatening medical emergencies.

Many will agree that this tech is revolutionary in the medical field, and it’s incredible how these networks are saving lives every day.Itcan even be applied to technologies, such as artificial cells, to treat diseases from inside the body.

  1. Police Investigations And Law Enforcement

Facial recognition and pixel enhancement are valuable tools in ongoing police investigations.Spiking neural networks have the potential to do these things far more efficiently than any person staring at a screen.

Neural networks can apply artificial learning algorithms to map similarities in facial structure. They can also be designed to enhance blurred images, as you see them do in movies. A neural network designed to assist in law enforcement has the potential to scan through various camera footage.This process can link up similarities that a team of officers may be unlikely to notice. Who knows, there may even be an algorithm that allows it to recognize patterns in body movement to identify suspects on the runmore effectively.

  1. Restoring Old PhotographsAnd Videos

This one might not seem as significant as enhancing healthcare and law enforcement, but it’s still as incredible.

6 Potential Applications Of Spiking Neural Networks

Restoring old photographs and videos is a feat that would require a professional restorer a lot of work, time, and resources to complete. A specially designed neural network software can have these resources pre-programmed into its system, and use the processing power of modern computers to complete restorations in a fraction of the time.

This software can be applied to restore and colorize black and white low-resolution historical images, enhancing the records of human history.

  1. Stock Market Predictions

Nobody knows whether the market is going to trend up or down. Predicting future stock market trends is a near-impossible task.

That said, neural networks can analyze the historical data of the stock market trends to predict upcoming changes in the market. It’s still impossible to predict the future, but we can do the next best thing with the power of computing.

  1. Aerospace Engineering

The invention of aircrafts and spacecrafts has allowed humans to do things that were once presumed impossible and go places that used to be unreachable. Integrating artificial neural networks into the aerospace engineering field can bring new capabilities that can take us even further.Advanced auto-piloting systems and running realistic flight simulations aresome of the already-existing applications.

Deep space exploration might be a hopeful dream right now.Still,suppose this technology continues to evolve.We may someday see a self-learning and self-piloting spacecraft that can independently explore space that’s beyond our current reach and send the data it collects back home.


As you can see, spiking neural networks can be applied to many different fields and make significant contributions anywhere they’re used. These applications range from doing picture restorations to saving lives by predicting the early onset of diseases. The value of this technology is boundless. We can expect to see even more great uses for neural networks in the future.