Epstein Secrets

onal robust pattern recognition. Proc. AAA! Workshop on Biologically Inspired Cognitive Architectures, 2009. ARC09b. Itamtu. Arel, Derek Rose, and Robert Coop. A biologically-inspired deep learning architecture with application to high-dimensional pattern recognition. In Biologically Inspired Cognitive Arc

parameters and relationships guiding what the system pays attention to, at what points in time. This is a term inclusive of Importance Updating and Hebbian Learning. • Attentional Currency: Short Term Importance and Long Term Importance values are implemented in terms of two different types of artificial money,

h; Ben Goertzel, Novamente LLC; Ramer Arel, University of Tennessee; Joscha Bach, Institute of Cogni- tive Science, University of Osnabruck, Germany; Robert Coop, University of Tennessee; Rod FUrlan, Singularity Institute; Matthias Sellouts, Indiana University; J. Storrs Hall, Foresight Institute; Alexei Sams

1 The Hopfield neural net model 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-Fo

; Ben Goertzel, Novamente LLC; Itamar Arel, University of Tennessee; Joscha Bach, Institute of Cogni- tive Science, University of Osnabruck, Germany; Robert Coop, University of Tennessee; Rod Furlan, Singularity Institute; Matthias Scheutz, Indiana University; J. Storrs Hall, Foresight Institute; Alexei Samson

3.4.2 Knowledge Representation via Cell Assemblies .................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; case