Find the algorithm to simulate the human brain, but no machine can operate

Scientists have found an algorithm that can perfectly simulate human brain activity. Now we just have to wait for someone to build a machine to operate it.

The team includes researchers from Germany, Japan, Norway and Sweden, recently published a report describing in detail how an algorithm can connect virtual neurons with knots. It is designed to simulate a billion connections between neurons and synapses in the actual brain.

A human brain contains an extremely complex neuronal system and to simulate it at a ratio of 1: 1 is impossible for the current technology platform. A supercomputer in the past could only produce simulated simulations of less than 10% of brain activity in limited conditions. This is because the connection of neuron networks requires a lot of energy to replicate in existing computer systems.

A human brain contains an extremely complex neuronal system.

According to the Kurzweil Network site reported:

"This process requires one bit of information for each simulated processor for a neuron in the entire system. For a network of nearly a billion neurons, a huge amount of memory must be provided for each. One bit of information for each of these neurons, of course, the amount of computer memory needed for each of these bits of data must also be accompanied by a huge amount of additional processor of the neural network. overcoming 1% and completely simulating the human brain requires a huge amount of memory for processing systems about 100 times larger than today's supercomputers ".

The new algorithm will not allow scientists to simulate the human brain right now or in the near future, but theoretically, in the future when they are operated it will help the hardware system work more efficiently. so many, so much.

They are built from the open source simulation toolkit (NEST) , which is widely used in the neuroscience research community.

By expanding this algorithm together with future efficient processing systems, the researchers expect to achieve simulated performance up to 100%. This will be a big step forward for some high-level scientific fields.

Such a simulation system can accelerate the study of brain disorders, from Parkinson's disease to multiple sclerosis. And along with it is the progress on artificial intelligence development and neural network design applications for deep learning.

Scientists have worked for decades to simulate the human brain only by computer and math. This algorithm can be a bridge between what we already know and the great future discovery about human intellect.