Data mining opens the door to predictive neuroscience | KurzweilAI
Ecole Polytechnique Fédérale de Lausanne (EPFL) researchers havediscovered rules that relate the genes that a neuron switches on and off to the shape of that neuron, its electrical properties, and its location in the brain.
The discovery, using state-of-the-art computational tools, increases the likelihood that it will be possible to predict much of the fundamental structure and function of the brain without having to measure every aspect of it.
That in turn makes modeling the brain in silico — the goal of the proposedHuman Brain Project — a more realistic, less Herculean, prospect.
“It is the door that opens to a world of predictive biology,” says Prof. Henry Markram.