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Deep Predictive Learning: A Comprehensive Model of Three Visual Streams by O'Reilly, Randall C.; Wyatte, Dean R.; Rohrlich, John is a scholarly article available to read on EtoBox.

What is Deep Predictive Learning: A Comprehensive Model of Three Visual Streams about?

How does the neocortex learn and develop the foundations of all our high-level cognitive abilities? We present a comprehensive framework spanning biological, computational, and cognitive levels, with a clear theoretical continuity between levels, providing a coherent answer directly supported by extensive data at each level. Learning is based on making predictions about what the senses will report at 100 msec (alpha frequency) intervals, and adapting synaptic weights to improve prediction accuracy. The pulvinar nucleus of the thalamus serves as a projection screen upon which predictions are generated, through deep-layer 6 corticothalamic inputs from multiple brain areas and levels of abstraction. The sparse driving inputs from layer 5 intrinsic bursting neurons provide the target signal, and the temporal difference between it and the prediction reverberates throughout the cortex, driving synaptic changes that approximate error backpropagation, using only local activation signals in equations derived directly from a detailed biophysical model. In vision, predictive learning requires a carefully-organized developmental progression and anatomical organization of three pathways (What,

Author

O'Reilly, Randall C.; Wyatte, Dean R.; Rohrlich, John

Published

2017

Language

EN