Human Brain Project work plan

The Human Brain Projects

How will the HBP be different from classical Artificial Intelligence?

The challenge in Artificial Intelligence (AI) is to design algorithms that can produce intelligent behaviour and to use them to build intelligent machines. It doesn't matter whether the algorithms are biologically realistic – what matters is that they work – the behaviour they produce. In the HBP, we're doing something completely different. The goal is to build data driven models that capture what we've learned about the brain experimentally: its deep mechanics (the bottom up approach) and the basic principles it uses in cognition (the top-down approach). Certainly we will try and translate our results into technology (neuromorphic processors) but, unlike classical AI, we will base the technology on what we actually know about the brain and its circuitry. We will develop brain models with learning rules that are as close as possible to the actual rules used by the brain and couple our models to virtual robots that interact with virtual environments. In other words, our models will learn the same way the brain learns. Our hope is that they will develop the same kind of intelligent behaviour. We know that the brain's strategy works. So we expect that a model based on the same strategy will be much more powerful than anything AI has produced with "invented" algorithms.

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Q&A

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How many people worked on the human genome project?

This will be a vast underestimation but the original paper that introduced the human genome "Initial sequencing and analysis of the human genome", there were around 2900 authors. See

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