A model of computation in neocortical architecture

被引：57

作者：

Körner, E ^{[1
]}

Gewaltig, MO ^{[1
]}

Körner, U ^{[1
]}

Richter, A ^{[1
]}

Rodemann, T ^{[1
]}

机构：

[1] HONDA R&D Europe Deutschland GmbH, Future Technol Res, D-63073 Offenbach Main, Germany

来源：

NEURAL NETWORKS | 1999年 / 12卷 / 7-8期

关键词：

columnar architecture; computational neuroscience; neocortex; gamma oscillations; spiking neurons; bidirectional processing; ventral visual pathway; visual perception;

D O I：

10.1016/S0893-6080(99)00049-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 lime 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. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：989 / 1005

页数：17

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