early vision http://popups.lib.uliege.be/1373-5411/index.php?id=1322 Index terms fr 0 A Synthesis of the Pribram Holonomic Theory of Vision With Quantum Associative Nets After Pre-Processing Using I.C.A. and Other Computational Models http://popups.lib.uliege.be/1373-5411/index.php?id=1319 Statistically-Independent Component Analysis (ICA) and sparseness-maximization net are models which maximally preserve information ("infomax"). Research of relevance of these algorithms for modeling image-processing in V1 is reported in comparison with the Holonomic Brain Theory by Pribram which advocates dendritic processing and its connection to quantum processing. "Infomax" models are presented and discussed as a possible early-processing gateway to higher visual processing involving quantum associative nets (Perus, 2000) and attractor dynamics. Wed, 10 Jul 2024 10:53:14 +0200 Wed, 10 Jul 2024 10:53:23 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1319