A NEAT reduction of complex neuronal models accelerates brain research

Complex to abstract, the fascinating tree structure of dendrites can now be modelled at many scales. © eLife - Unlike their simple counterparts in artificial intelligence (AI) applications, neurons in the brain use dendrites - their intricate tree-like branches - to find relevant chunks of information. Now, neuroscientists from the University of Bern have discovered a new computational method to make complex dendrite models much simpler. These faithful reductions may lead AI applications to process information much like the brain does. Neurons, the fundamental units of the brain, are complex computers by themselves. They receive input signals on a tree-like structure - the dendrite. This structure does more than simply collect the input signals: it integrates and compares them to find those special combinations that are important for the neurons' role in the brain.