“The Brain Is An Information-Processing Machine”

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Consciousness is explainable, not now, but eventually. When “eventually” occurs I don’t know. 

In one of his characteristically smart and demystifying articles about how the human brain works, Michael Graziano writes in The Atlantic that many of our current theories of consciousness rely on our (incorrect) intuitions and are embedded with flourishes that flatter us. 

The most surprising line he writes is this one:When I talk to other scientists about the study of consciousness, very often the first thing I’m asked to explain is why the topic is worth scientific attention.” That’s stunning. I think the two most interesting questions humans can answer are 1) What’s out there (in space)? and 2) What’s in here (in our brains)? Everything else seems not trivial but far less important. 

An excerpt about a better approach to studying brain function:

Here’s how we can construct theories that do a better job of explaining, even if they appeal less to our biases and intuitions. The brain is an information-processing machine. It takes in data, transforms it, and uses it to help guide behavior. When that machine ups and says, “Hey, I have a conscious experience of myself and the things around me,” that assertion is based on data computed in the brain. As scientists we can ask a series of basic questions. How did the machine arrive at that self-description? What’s the specific, adaptive use of that self-description? What networks in the brain compute that type of information? These are all scientifically approachable questions. And we are beginning to see specific, testable theories that can answer them. The theories that show the most promise are sometimes called metacognitive theories. They are theories of how the brain computes information about itself and its own processes.

The brain constructs packets of information, virtual models, that describe things in the world. Anything useful to monitor and predict, the brain can construct a model of it. These simulations change continuously as new information comes in, and they’re used to guide ongoing behavior. For example, the visual system constructs rich, detailed models of the objects in the visual world—a desk, a car, another person. But the brain doesn’t just model concrete objects in the external world. It also models its own internal processes. It constructs simulations of its own cognition.

And those simulations are never accurate. They contain incomplete, sometimes surreal information. The brain constructs a distorted, cartoon sketch of itself and its world. And this is why we’re so certain that we have a kind of magic feeling inside us.

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