I think the definition will change as we learn more, but my working definition of solving the brain is: one, we can model, maybe in a computer, the processes that generate things like thoughts and feelings, and two, we can understand how to cure brain disorders, like Alzheimer's and epilepsy. Those are my two driving goals. One is more human-condition oriented, and one more clinical.

Synthesize new ideas constantly. Never read passively. Annotate, model, think, and synthesize while you read, even when you're reading what you conceive to be introductory stuff. That way, you will always aim towards understanding things at a resolution fine enough for you to be creative.

I would argue that if you understand how the cells of the brain are organized into circuits, almost computational circuits if you will, and we see how information flows through those circuits and how it's transformed, we might have a much firmer grasp on why our brains make decisions the way that they do. If we get a handle on that, maybe we can overcome some of our limitations and at the very least we'll understand why we do what we do.

Life is an adventure - Savor every instant!

I often try to think about, What sounds like a bad idea, but if you find the right plan of attack, it's actually a really good idea? I spend a lot of time really trying to systematically tackle problems from different angles.

If you could map out a human brain, an open question is, if you simulated it, would it be you? Now, as we discussed earlier, we don't have a great definition or even a good technological handle to know whether something is conscious or not just by looking at it, so there's that aspect that we're not ready to answer, I would argue. But it raises very interesting questions about the nature of identity.

Many of the projects that we do that appear quite successful, it's actually often the second or third time we've given it a try.