266 13 Local, Global and Glocal Knowledge Representation & Distributed-only vw Gating arr hite-chue z tT i = Pea a ee \ u 4 7 et VX )" ee ae | Se Ky = | non : Weer —?" ey 2 : _— ei b Dintetbarted-plue-hush wine Comerresrgent anche ture MEIER . ‘oe. aa =~ T =... a . a gad gen J (= AIZEN DD So: ain : lp: = Fi | +, PopEiertaticn. SS = Ts eee: = Er se Seah | Natur Review Meurcicience Fig. 13.1: A Simplified Look at Feedback-Control in Uncertain Inference What is missing in [PNRO7] and [Dam00] perspective is a vision of distributed memories as attractors. The idea of localized memories serving as indices into distributed knowledge stores is important, but is only half the picture of glocal memory: the creative, constructive, dynamical-attractor aspect of the distributed representation is the other half. The closest thing to a clear depiction of this aspect of glocal memory that seems to exist in the neuroscience literature is a portion of William Calvin’s theory of the “cerebral code” [Cal96]. Calvin pro- poses a set of quite specific mechanisms by which knowledge may be represented in the brain using complexly-structured strange attractors, and by which these strange attractors may be propagated throughout the brain. Figure 13.2 shows one aspect of his theory: how a distributed attractor may propagate from one part of the brain to another in pieces, with one portion of the attractor getting propagated first, and then seeding the formation in the destination brain region of a close approximation of the whole attractor. Calvin’s theory may be considered a genuinely glocal theory of memory. However, it also makes a large number of other specific commitments that are not part of the notion of glo- cality, such as his proposal of hexagonal meta-columns in the cortex, and his commitment to evolutionary learning as the primary driver of neural knowledge creation. We find these other HOUSE_OVERSIGHT_013182