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Sample text

On top of that, the word neuron makes it sound like there is only one kind, whereas in fact there are several hundred kinds, possibly more, each with distinctive physical characteristics, electrical characteristics, and, likely, computational functions. Second, we have yet to discover many of the organizing principles that govern all that complexity. We don’t know, for example, if the brain uses anything as systematic as, say, the widespread ASCII encoding scheme that computers use for encoding words.

Connectomes” are like highway maps, “activity maps” record the traffic as the brain is engaged in behavior. Like Google Maps, we ultimately need many “layers” of information, telling us about landmarks (like the folds of the cortex), annotations about particular types of neurons (the brain likely has close to a thousand), and ultimately about the pathways of neurons that are involved in particular kinds of behaviors. The essays in this part tell a story—from the current, cutting edge to the future—about technological advances that will allow us to map out as much of that territory as possible.

To analyze and record their findings neuroanatomists develop atlases or maps of the brain similar to those cartographers produce. The state of our understanding today of an integrated plan of brain function remains incomplete. Rather than indicating a lack of effort, this observation highlights the profound complexity and interconnectivity of all but the simplest neural structures. Laying the foundation of cellular neuroscience, Santiago Ramón y Cajal (1852–1934) drew and classified many types of neurons and speculated that the brain consists of an interconnected network of distinct neurons, as opposed to a more continuous web.

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