Minds and Computers

In everyday conversation, brains are often equivocated to “computers.” This intellectual laziness, as it were, has led to almost an entire generation of academics asserting that minds are nothing more than programs, run on the machinery of the brain. In this post, I hope to clear up a few confusions and oversights related to this position. I do not claim to be the first to say these things, but I’d like to round up a few of these disconnected views and add my own personal thoughts as they seem useful.

The issue is that to claim that the brain is like something—say, a computer—is to assert that we have any idea as to how the brain really works. This is utterly and completely false. We certainly know a lot about the brain, but most of this is in terms of small, isolated events (action potentials) or very coarsely-grained images (e.g., fMRI), so anyone who claims to have a complete view of how the brain processes, integrates, and distributes information is very misguided, to say the least.

There is certainly a lot more about the brain that we’ve learned since these equivocations were first put forth in the literature. We have learned more about how networks of neurons function coherently to produce meaningful representations. We have learned about oscillations in the brain that help unify otherwise disjoint brain functions (gamma-waves are especially exciting in this regard). We have learned about local field potentials, such as those recorded by EEG, and how they help modulate neighborhoods of neurons. In this sense, the brain is still a kind of information processor, albeit much more complex than we once thought it to be, and this is where the equivocation breaks down.

Computers are designed with distinct functional units that attempt to minimize interference from surrounding units. Neurons, the functional units of the brain, certainly do this to an extent—if they did not, the careful modulation of membrane potentials necessary for coherent communication would be impossible to maintain. They are nevertheless heavily influenced by every single signal and associated field potential that passes through any region of the brain they occupy. Neurons could not function properly in isolation (by function, I mean in a way that is conducive to conscious experience), they require complex interactions among themselves—and with the body they represent—the likes of which we do not see in their silicon counterparts. The most complex relation required is that which is often referred to as “dynamic constancy” in chemical terms. The brain is not a static system. It is constantly changing: in order to understand a single word, much less a sentence, it must alter synaptic connections. Sometimes this involves strengthening a handful due to the accumulation of calcium ions in pre- or post-synaptic terminals*. Other times this involves the generation of entirely new synapses through complex genetic regulatory mechanisms. It is astounding to realize that many everyday actions require synchronous activation and deactivation of entire networks of genes with perfect precision, often several times over. Nonetheless, all of this constant modification leaves, at the end of the day, more or less the same brain that started the day, thus dynamic constancy.

We may one day be able to “create” something that is capable of conscious reflection, and we may even call it a computer when the time comes, but it will not be anything that is recognizably a computer according to today’s standards. Likely, it will incorporate some aspects of biological matter, perhaps some actual living cells will be the only solution. The point of all of this is that minds are not merely computer programs, the distinction between program and hardware is nonexistent. The mind is the brain, and the brain is the mind, and nothing more.

*It is especially exciting to learn that the durations of various synaptic modulating processes correlate almost perfectly with discoveries made quite independently in cognitive psychology. For example, estimates of the durations of mono-synaptic facilitation, which can rely on the accumulation of calcium ions as mentioned above, tend to match up almost perfectly with estimates of the durations of various forms of working memory.

3 thoughts on “Minds and Computers

  1. So we can agree that, “the brain processes, integrates, and distributes information”. Rather than thinking about all the ways that computers and brains are different, it might be more helpful ponder their similarities of function. The reason computers work so well to create simulations is that their process mimics the fundamentals of all processes. In this view we can see that the intake, process and output cycle is present in ALL actions, reactions, interactions in the Universe. Starting from this common denominator we can build a process centered model that more closely describes our dynamic Universe than the solid, material version we have inherited.

    In this view that brain follows the same rules for growth and learning as does any complex adaptive system. Many of these rules are so fundamental that they repeat regardless of scale and implementation. The similarities are a lot more fun than the differences. =-)

    • I certainly agree that their are many, many similarities in any information processing system, and I agree that it will likely be useful to focus on what you call a “process centered model”—in fact, my idea of a future “computer,” or whatever you’d like to call it, would probably resemble what you’re getting at. The only point that I wanted to raise is the—flawed, I propose—premise that the differences are insignificant. By paying mind to the differences, we can get an idea of which areas need retooling in order to realize a more perfect system.

      Regardless, I see your point, and I thank you for your comment. I’ll have to write up a fuller analysis sometime in the future—any other input you have would be welcomed, in that regard. I’ll have to read through more of your posts soon.

  2. Pingback: Searle in Two Quotes | reluctantDualist

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