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Neuroscientists talk a lot about brain circuits. In fact, the word 'circuit' is probably misleading. We do not know where most circuits begin and end. And unlike an electrical circuit, brain connections are heavily reciprocal and recursive, so that a direction of information flow can be inferred but sometimes not proven.

You can't imagine how much detail we know about brains. There were 28,000 people who went to the neuroscience conference this year, and every one of them is doing research in brains. A lot of data. But there's no theory. There's a little, wimpy box on top there.

What I'm really interested in is this idea of a 'brain co-processor' - a device that can record from, and deliver information to, so many points in the brain, with a computational infrastructure in between - a computer that can process the information and compute exactly what needs to be restored.

I think we're all fascinated and a little mystified by how the brain works. One of the most mysterious of the physical sciences is neurological science.

In the entire history of the human species, every tool we've invented has been to expand muscle power. All except one. The integrated circuit, the computer. That lets us use our brain power.

I started working with brain sensing tech in labs over a decade ago and was immediately fascinated by the potential to help people peer into the workings and behaviors of their own minds.

A meticulous virtual copy of the human brain would enable basic research on brain cells and circuits or computer-based drug trials.

But the newest research is showing that many properties of the brain are genetically organized, and don't depend on information coming in from the senses.

Exciting discoveries in neuroscience are allowing us to fit educational methods to new understandings of how the brain develops.