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Intelligent encoding and economical communication in the visual stream.

Lorincz, Andras (2004) Intelligent encoding and economical communication in the visual stream. [Conference Poster] (Unpublished)

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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.

Item Type:Conference Poster
Keywords:neocortex, hippocampus, generative networks, NP-hard problems, collaboration, agents, visual stream
Subjects:Neuroscience > Neural Modelling
Computer Science > Machine Learning
ID Code:3505
Deposited By: Lorincz, Prof Andras
Deposited On:18 Mar 2004
Last Modified:11 Mar 2011 08:55

References in Article

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