Original paper
Towards deep learning with segregated dendrites
Abstract
Deep learning has led to significant advances in artificial intelligence, in part, by adopting strategies motivated by neurophysiology. However, it is unclear whether deep learning could occur in the real brain. Here, we show that a deep learning algorithm that utilizes multi-compartment neurons might help us to understand how the neocortex optimizes cost functions. Like neocortical pyramidal neurons, neurons in our model receive sensory...
Paper Details
Title
Towards deep learning with segregated dendrites
Published Date
Dec 5, 2017
Journal
Volume
6
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Notes
History