creators_name: Lorincz, Andras editors_name: Wörgötter, F. type: confposter datestamp: 2004-03-18 lastmod: 2011-03-11 08:55:30 metadata_visibility: show title: Intelligent encoding and economical communication in the visual stream. ispublished: unpub subjects: neuro-mod subjects: comp-sci-mach-learn full_text_status: public keywords: neocortex, hippocampus, generative networks, NP-hard problems, collaboration, agents, visual stream abstract: The theory of computational complexity is used to underpin a recent model of neocortical sensory processing. We argue that encoding into reconstruction networks is appealing for communicating agents using Hebbian learning and working on hard combinatorial problems, which are easy to verify. Computational definition of the concept of intelligence is provided. Simulations illustrate the idea. date: 2004 date_type: published refereed: TRUE referencetext: B. Szatmary, B. Poczos and A. Lorincz, 2004, J. Physiol. (Paris), accepted. D. D. Lee and H. S. Seung, Learning the parts of objects by non-negative matrix factorization, Nature 1999, 401: 788-791. D. A. Henze, L. Wittner and G. Buzsaki, Single granule cells reliably discharge targets in the hippocampal CA3 network in vivo, Nature Neurosci. 2002, 5: 790-795. A. V. Egorov, B. N. Hamam, E. Fransen, M. E. Hasselmo and A. A. Alonso, Graded persistent activity in entorhinal cortex neurons, Nature, 2002, 420: 173-178. I. Biederman, Recognition-by-components: a theory of human image understanding, Psychol. Rev., 1987, 94: 115--147 A. Lorincz, B. Szatmary and G. Szirtes, Mystery of structure and function of sensory processing areas of the neocortex: A resolution, J. Comp. Neurosci., 2002, 13: 187-205. S. Harnad, Can a Machine Be Conscious? How? 2003, http://cogprints.ecs.soton.ac.uk/archive/00002460/. A. Hyvarinen, Sparse code shrinkage: Denoising of nongaussian data by maximum likelihood estimation, Neural Computation, 1999, 11: 1739--1768. A. Lorincz, Towards a unified model of cortical computation II}: From control architecture to a model of consiousness, Neural Network World, 1997, 7: 137-152. citation: Lorincz, Andras (2004) Intelligent encoding and economical communication in the visual stream. [Conference Poster] (Unpublished) document_url: http://cogprints.org/3505/1/_intelligent_encoding_.pdf