Epstein Secrets

256 13.4.2 Knowledge Representation via Cell Assemblies 257 13.5 Neural Foundations of Learning 258 13.5.1 Hebbian Learning 258 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies 258 13.5.3 Neural Darwinism 259 13.6 Glocal Memory 260 13.6.1 A Semi-Formal Model of Glocal Memory

ning 258 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies 258 13.5.3 Neural Darwinism 259 13.6 Glocal Memory 260 13.6.1 A Semi-Formal Model of Glocal Memory 262 13.6.2 Glocal Memory in the Brain 263 13.6.3 Glocal Hopfield Networks 268 13.6.4 Neural-Symbolic Glocality in CogPrime 269 14 Repre

: that is, one instance synaptic modification causes another instance of synaptic modification, which causes another, and so forth' 113i0II. 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies Hebbian learning is conventionally formulated in terms of individual neurons, but, it can be extended natur

ficant role in the brain and in intelligent systems more broadly. EFTA00624037 262 13 Local, Global and Glocal Knowledge Representation 13.6.1 A Semi-Formal Model of Glocal Memory To explain the notion of glocal memory more precisely, we will introduce a simple semi-formal model of a system $ that uses a memory to record info

.........2.05- 257 13.5 Neural Foundations of Learning ..........0 0.000 ee eee 258 13.5.1 Hebbian Learning............ 0.0.00 eee ete eee 258 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies .......... 258 35:38 Netital DArwitiiSitt +2; cases cose: cs s@5m5 $@EME DOES SERS EOE RS Emtes CO: 259 13.6

8 Netital DArwitiiSitt +2; cases cose: cs s@5m5 $@EME DOES SERS EOE RS Emtes CO: 259 13.6 Glocal Memory .......00 0.0 cc eee t ene e eae 260 13.6.1 A Semi-Formal Model of Glocal Memory .............0...0 00 e eevee 262 13.6.2 Glocal Memory in the Brain ............ 000... eee 263 13.6.3 Glocal Hopfield Networks... .......0.000. 0022

on: that is, one instance synaptic modification causes another instance of synaptic modification, which causes another, and so forth? [Bi01]. 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies Hebbian learning is conventionally formulated in terms of individual neurons, but, it can be extended natura

ole in the brain and in intelligent systems more broadly. HOUSE_OVERSIGHT_013177 262 13 Local, Global and Glocal Knowledge Representation 13.6.1 A Semi-Formal Model of Glocal Memory To explain the notion of glocal memory more precisely, we will introduce a simple semi-formal model of a system S that uses a memory to record infor