A team of researchers have built a brain computer interface device that can simulate the nervous system function of the nervous network of the brain.
The device is a miniaturized computer chip, similar to the size of a credit card, and it can simulate electrical impulses generated by the brain’s neurons, allowing it to communicate with an external sensory system.
The team has created a virtual nervous system for a computer chip that can be placed in a brain and controlled by an external device.
The chip can simulate neuronal activity in the brain, which in turn can then be used to control a virtual computer that is connected to the nervous computer.
This virtual brain computer is one of the first computer-based systems to combine neural activity with the simulation of the neural network, said the lead author of the paper, David G. Roper.
The work is published in the journal Nature Nanotechnology.
A small chip that simulates the neural activity of the human brain is an exciting step forward in creating a virtual brain that can emulate the electrical activity of neurons in the human cerebral cortex.
“It is exciting to see a new generation of chip that is able to simulate the brain activity of humans,” said Roper, who holds a PhD in mechanical engineering.
“The idea is that it can be used as a platform for future neurotechnologies.”
A brain computer chip is a tiny chip with a circuit board that sits in a person’s brain.
A computer chip has a central processing unit (CPU) and a memory array of 256 bits.
A processor can communicate with the chip, which can run instructions in real time.
Ropers team built a mini-computer chip that could be used in a computer to simulate neuronal firing, and they then tested this chip in real-world situations using real human subjects.
The virtual nervous systems can be set up with real-time neural activity in a lab environment.
The computer chip can communicate directly with the subjects brains via a network of electrodes and other devices.
The electrodes and electrodes that connect to the subject’s brain were placed on the top of the chip and then connected to a microphone.
The subjects brain activity was recorded with an EEG headset.
The results showed that the electrodes were able to mimic neuronal firing and the electrode arrays, which are used to detect brain signals, could mimic neuronal activity.
“This chip could be put in a human brain and be used for training a real neural network to learn and perform tasks,” Roper said.
This chip could also be used by researchers to develop new brain-computer interfaces, such as an implantable device that could mimic the nervous systems of the brains of humans.
The research team is now working on integrating this chip into a real-life computer.
“We have a lot of interesting possibilities, from training the computer to do things, to making the computer perform better and better,” Ropers said.
“Our goal is to build an artificial neural network that is capable of simulating the neural processes of the cerebral cortex, which is how we can create neural prosthetics and neural interfaces that can do things like control robots or computers.”
The chip is the result of a collaboration between Roper and his co-author, Andrew R. Biederman, a professor of mechanical engineering at the University of North Carolina at Chapel Hill.
Bederman is an expert in the field of neural interfacing.
Rops team hopes that by making this chip the first to simulate neural activity and then using it to simulate a virtual network, they will have a better understanding of how the brain works.
This research was funded by a National Science Foundation (NSF) award and the National Institutes of Health (NIH) Office of Biological Research (OBR).