Authors
Itay Azaria, Shlomi Dolev, Ariel Hanemann, Rami Puzis
Publication date
2016/2/15
Conference
2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)
Pages
197-201
Publisher
IEEE
Description
The fascinating question of the relation of information and coding theory to the memories stored in the brain is our research scope. We speculate there is a similar code used to represent different memories, rather than unique code for different memories. The uniform cortex structure supports our speculation. Recently we suggested holographic coding that can fit Pribram's holographic memory theory. Using the holographic coding metaphor, the memory should be retrieved by a reference beam as in a hologram. We explore the possibility that the brain learns its directory (possibly in the temporal lobe), during memory consolidation. This directory is a neural network that is used for sending signals to the cortex to recall memories. The network learns to distinguish between objects during saving, in order to signal the correct recall. Haar features (HF) are 0/1 matrices used for face recognition. We use HF to learn to …
Scholar articles
I Azaria, S Dolev, A Hanemann, R Puzis - 2016 Second International Symposium on Stochastic …, 2016