Subutai Ahmad reviews the biology behind active dendrites and explains how Numenta models them. He first presents an overview of active dendrites in pyramidal neurons by describing various experimental findings. He describes the impact of dendrites on the computation performed by neurons, and some of the learning (plasticity) rules that have been discovered. He shows how all this forms the substrate for the HTM neuron, proposing that dendritic computation is the basis for prediction and very flexible context integration in neural networks.
Papers:
Bartlett Mel, Neural Computation 1992
Poirazi, Brannon & Mel, Neuron, 2003
Numenta Neurons Paper 2016
Numenta Columns Paper 2017
âPredictive Coding of Novel versus Familiar Stimuli in the Primary Visual Cortexâ
âContinuous online sequence learning with an unsupervised neural network modelâ
âUnsupervised real-time anomaly detection for streaming dataâ
âActive properties of neocortical pyramidal neuron dendritesâ