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Neural network models mimic the behavior of real dendrites

Neural network models mimic the behavior of real dendrites 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. Moreover, the dendrites of neurons come in a variety of shapes and forms, indicating that distinct neurons may have separate roles in the brain. A simple yet faithful model In neuroscience, there has historically been a tradeoff between a model s faithfulness to the underlying biological neuron and its complexity. Neuroscientists have constructed detailed computational models of many different types of dendrites.

A NEAT reduction of complex neuronal models accelerates brain research

 E-Mail IMAGE: Complex to abstract, the fascinating tree structure of dendrites can now be modelled at many scales. view more  Credit: © eLife 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. Moreover, the dendrites of neurons come in a variety of shapes and forms, indicating that distinct neurons may have separate roles in the brain. A simple yet faithful model

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