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Intracortical BCIs: A Brief History <strong>of</strong> Neural Timing 205<br />

Similarly, the implanted microelectrode recording systems can detect the exact<br />

firing patterns <strong>of</strong> the individual neurons within the brain. These detailed firing patterns<br />

are rich with complex information, such as how much you need to activate<br />

each specific muscle to make a given movement or the detailed position, velocity,<br />

and acceleration <strong>of</strong> the limb about each joint. This level <strong>of</strong> detail about what a person<br />

is thinking or trying to do, so far, has eluded researchers using non-invasive<br />

recording methods.<br />

Finally, to carry this metaphor even further, let us compare the technical challenges<br />

with measuring the room’s temperature versus detecting the velocity <strong>of</strong> each<br />

individual molecule. It would be impractical to install sensors at every possible location<br />

within the room for the purpose <strong>of</strong> measuring the velocity <strong>of</strong> every molecule.<br />

There would be no room left for the people or for the molecules <strong>of</strong> air to travel.<br />

Similarly, you cannot put enough microelectrodes in the brain to detect the activity<br />

<strong>of</strong> every neuron in a given area. The electrodes would take up all the space leaving<br />

no room for the neurons. Microelectrode arrays sample only a very small fraction<br />

<strong>of</strong> the available neurons. And, although complex information can be extracted from<br />

this sparse sampling <strong>of</strong> neurons, this information is inherently just an estimate <strong>of</strong><br />

the true information encoded in the detailed firing patterns <strong>of</strong> one’s brain. In the<br />

next section, we will describe the imperfect process by which the firing patterns<br />

<strong>of</strong> individual neurons are recorded using intracortical microelectrode technologies.<br />

Then, in the rest <strong>of</strong> this chapter, we will discuss how researchers have been able to<br />

use even a single neuron to a few hundreds <strong>of</strong> neurons to very effectively control<br />

different BCI systems.<br />

3 Neurons, Electricity, and Spikes<br />

As you are reading this sentence, the neurons in your brain are receiving signals<br />

from photoreceptors in your eyes that tell the brain where light is falling on your<br />

retina. This information gets passed from the eyes to the brain via electrical impulses<br />

called “action potentials” that travel along neurons running from the eyes to the<br />

brain’s visual processing center. These electrical impulses then get transmitted to<br />

many other neurons in the brain through cell-to-cell connections called synapses.<br />

Each neuron in the brain <strong>of</strong>ten receives synaptic inputs from many different neurons<br />

and also passes on its own synaptic signals to many different neurons. Your brain<br />

is made up <strong>of</strong> about a hundred billion neurons that synapse together to form complex<br />

networks with specific branching and connection patterns. Amazingly, these<br />

networks can transform the electrical impulses, generated by the light and dark<br />

patterns falling on your retina, into electrical impulses that encode your symbolic<br />

understanding <strong>of</strong> words on the page, and (hopefully) into electrical impulse patterns<br />

that encode your understanding <strong>of</strong> the more abstract concepts this book is trying to<br />

get across.<br />

At the heart <strong>of</strong> perceiving light and dark, or understanding a word, or abstractly<br />

thinking about how we think – is the action potential. The action potential is an

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