Neuronal Dendritic Trees

The new experimental observations suggest that learning is mainly performed in neuronal dendritic trees, where the trunk and branches of the tree modify their strength, as opposed to modifying solely the strength of the synapses (dendritic leaves), as was previously thought.

These observations indicate that the neuron is a much more complex, dynamic and computational element than a binary element that can fire or not.

Just one single neuron can realize deep learning algorithms, which previously required an artificial complex network consisting of thousands of connected neurons and synapses.