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I was interested in big unknowns, and the brain is one of the biggest, so building tools that allow us to regard the brain as a big electrical circuit appealed to me.

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 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.

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.

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

Cognitive neuroscience is entering an exciting era in which new technologies and ideas are making it possible to study the neural basis of cognition, perception, memory and emotion at the level of networks of interacting neurons, the level at which we believe many of the important operations of the brain take place.

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.

We have about 100 million cells interconnected in our brains. They communicate with one another through electrical signals.

We basically created a computational unit out of two brains.

Studies by many labs have already started to identify specific circuits of neurons involved in normal cognitive function like memory and learning, as well as disease processes such as Parkinson's disease, depression, and autism.