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Neuro-Hybrid Systems

27 Oct 2016

Neuroscientist Dr. Doping tells about the mechanism of brain training, experiments neuro-hybrid systems and painting robot. What approaches to the study of the brain exist in modern neuroscience? As you can see the work of an individual brain cells? When they began to appear neuro-hybrid system?

In modern neuroscience, there are many different approaches to the experimental study of the brain. They differ from each other temporal and spatial resolution. There are methods (electroencephalography and magnetic resonance imaging), which allow us to see brain activity as a whole, but they usually have poor temporal and spatial resolution. As a result, we can see how to activate this or that region of the brain, but not how the individual cells work. Other methods allow us to register with high time resolution - 1 ms or higher, as individual cells work. But then we can see only a small part of the brain.

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In order to understand how the dynamics of the brain associated with adaptive behavior, that is, due to which people and other animals think or are trained, we need the spatial resolution at the cellular level and at the time scale of milliseconds. At the same time you want to see the whole network of neurons, which is involved in a particular behavior. Thus, we see that in modern science there is a technical problem: there is no method that combines high cellular and temporal resolution with the ability to cover the whole brain.

Immediate prospects in the study of neuro-hybrid systems associated with the two directions. First, more than conceptual, in an attempt to increase the number of degrees of freedom, which can learn to control the neuronal network. Because today all models - a model of the type of collision avoidance with obstacles. The robot autonomously goes in a certain direction, and when he arrives at the obstacle, it gives a signal to the neuronal culture and neuronal culture must give the correct answer, which the robot turn away from the wall. It uses one degree of freedom. Obviously, for the full study researches need to introduce greater degrees of freedom that the robot could go right, left, build a combination of actions.

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