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Brain–Computer Interfaces - Index of

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Intracortical BCIs: A Brief History<br />

<strong>of</strong> Neural Timing<br />

Dawn M. Taylor and Michael E. Stetner<br />

1 Introduction<br />

In this chapter, we will explore the option <strong>of</strong> using neural activity recorded from tiny<br />

arrays <strong>of</strong> hair-thin microelectrodes inserted a few millimeters into the brain itself.<br />

These tiny electrodes are small and sensitive enough to detect the firing activity <strong>of</strong><br />

individual neurons. The ability to record individual neurons is unique to recording<br />

technologies that penetrate the brain. These microelectrodes are also small enough<br />

that many hundreds <strong>of</strong> them can be implanted in the brain at one time without displacing<br />

much tissue. Therefore, the activity patterns <strong>of</strong> hundreds or even thousands<br />

<strong>of</strong> individual neurons could potentially be detected and used for brain–computer<br />

interfacing (BCI) applications.<br />

Having access to hundreds <strong>of</strong> individual neurons opens up the possibility <strong>of</strong> controlling<br />

very sophisticated devices directly with the brain. For example, you could<br />

assign 88 individual neurons to control the 88 individual keys on a digital piano.<br />

Theoretically, an individual could play the piano by firing the associated neurons at<br />

the appropriate times. However, our ability to play Mozart directly from the brain<br />

is still far <strong>of</strong>f in the future (other than using a BCI to turn on the radio and select<br />

your favorite classical station). There still are many technical challenges to overcome<br />

before we can make use <strong>of</strong> all the potential information that can be extracted<br />

from intracortical microelectrodes.<br />

2 Why Penetrate the Brain?<br />

To illustrate the practical differences between non-invasive and invasive brain<br />

recording technologies, we will expand on a metaphor <strong>of</strong>ten used to explain how<br />

extracortical recordings can provide useful information about brain activity without<br />

recording individual neurons, i.e. “You don’t have to measure the velocity <strong>of</strong> every<br />

D.M. Taylor (B)<br />

Dept <strong>of</strong> Neurosciences, The Cleveland Clinic, Cleveland, OH 44195, USA<br />

e-mail: dxt42@case.edu<br />

B. Graimann et al. (eds.), Brain–Computer <strong>Interfaces</strong>, The Frontiers Collection,<br />

DOI 10.1007/978-3-642-02091-9_12, C○ Springer-Verlag Berlin Heidelberg 2010<br />

203

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