Epstein Secrets

with the presence of a very intense pattern in one's overall mind-state, corresponding to X. This simple idea is also the essence of neuroscientist Susan Greenfield's theory of consciousness 'Cre01 (but in her theory, "overall mind-state" is replaced with "brain-state"), and has much deeper historical roots in

re Nodes 254 13.3.7 Links for Special External Data Types 254 13.3.8 Truth Values and Attention Values 255 13.4 Knowledge Representation via Attractor Neural Networks 256 EFTA00623773 xviii Contents 13.4.1 The Hopfield neural net model 256 13.4.2 Knowledge Representation via Cell Assemblies 257 13.5

the biology literature, perhaps the bast-articulated modern theories championing the cell assembly view are those of Gunther Palm 1Pa182, IAG071 and Susan Greenfield ISF05, CSG07]. Palm focuses on the dynamics of the formation and interaction assemblies of cortical columns. Greenfield argues that each concept ha

ruth values, allowing logical semantics. EFTA00624031 256 13 Local, Global and Global Knowledge Representation 13.4 Knowledge Representation via Attractor Neural Networks Now we turn to global, implicit knowledge representation — beginning with formal neural net models, briefly discussing the brain, and then turning

d with the presence of a very intense pattern in one’s overall mind-state, corresponding to X. This simple idea is also the essence of neuroscientist Susan Greenfield’s theory of consciousness [GreO1] (but in her theory, "overall mind-state” is replaced with "brain-state"), and has much deeper historical roots in p

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the biology literature, perhaps the best-articulated modern theories championing the cell assembly view are those of Gunther Palm [Pal&82, HAGO7] and Susan Greenfield [SF05, CSGO7]. Palm focuses on the dynamics of the formation and interaction assemblies of cortical columns. Greenfield argues that each concept has

ues, allowing logical semantics. HOUSE_OVERSIGHT_013171 256 13 Local, Global and Glocal Knowledge Representation 13.4 Knowledge Representation via Attractor Neural Networks Now we turn to global, implicit knowledge representation — beginning with formal neural net models, briefly discussing the brain, and then turning b