title: A model of computation in neocortical architecture.
abstract: We propose that the specific architecture of the neocortex reflects the organization principles of neocortical computation. In this paper, we place the anatomically defined concept of columns into a functional context. It is provided by a large-scale computational hypothesis on visual recognition, which includes both, rapid parallel forward recognition, independent of any feedback prediction, and a feedback controlled refinement system. Short epochs of periodic clocking define a global reference time and introduce a discrete time for cortical processing which enables the combination of parallel categorization and sequential refinement. The presented model differs significantly from conventional neural network architectures and suggests a novel interpretation of the role of gamma oscillations and cognitive binding.
authors.affiliation: HONDA R&D Europe (Deutschland) GmbH, Future Technology Research, Carl-Legien-Strasse 30, 63073, Offenbach/Main, Germany
authors.forename: E
authors.initials: E
authors.lastname: Körner
authors.forename: M -O.
authors.initials: M
authors.lastname: Gewaltig
authors.forename: U
authors.initials: U
authors.lastname: Körner
authors.forename: A
authors.initials: A
authors.lastname: Richter
authors.forename: T
authors.initials: T
authors.lastname: Rodemann