Archive

Towards an Artificial Brain

The goal of MICrONS is threefold. One is they asked us to go and measure the activity in a living brain while an animal actually learns to do something, and watch how that activity changes. Two, to take that brain out and map exhaustively the “wiring diagram” of every neuron connecting to every other neuron in that animal’s brain in the particular region. And then third, to use those two pieces of information to build better machine learning. So let it never be said that IARPA is unambitious.

Recreating the Brain

The thing that makes us unique is our complexity. But not complexity in some generic sense. Nature is rife with complexity. What makes us special is the complexity of our brains.

Reverse Engineering the Brain

I suspect that when many of you think about neuroscience, the first things that come to mind are medical applications: mental disorders, pharmaceuticals. But what I’m going to try and argue today is that the stakes are much greater in the year 2015.

Molecular Mechanisms of Reward and Aversion

Why do we do the things that we do? Why do we sometimes choose to be loving parents and other times engage in irrational self-destructive behaviors? What drives us to sometimes be altruistic and other times make decisions that really threaten our very survival? Well, the answer lies in our brains. Our brains evolved to ensure that we repeat behaviors that will lead to our survival.

Engineering Thoughts and Memories

In brain decoding, we take our model that we’ve developed of the brain (and this can be a model for anything, vision or language) and we reverse it. And instead of going from the stimulus to the brain activity, we go from the brain activity back to the stimulus.