首页 | 本学科首页   官方微博 | 高级检索  
     


Reliable short-term memory in the trion model: toward a cortical language and grammar
Authors:Milind Sardesai  Christopher Figge  Mark Bodner  Meridith Crosby  Jill Hansen  Jorge A. Quillfeldt  Susan Landau  Annette Ostling  Sydni Vuong  Gordon L. Shaw
Affiliation:(1)  Department of Physics, Irvine, CA 92697-4575, USA, US;(2)  Department of Psychiatry and Brain Research Institute, School of Medicine, University of California, Los Angeles, CA 90024, USA, US;(3)  Music Intelligence Neural Development Institute, Irvine, CA 92612, USA, US;(4)  Institute of Biophysics, University of Rio Grande of Sul, 90049 Porto Alegre, RS, Brasil,
Abstract: It has previously been shown that Hebb learning in a single column in the trion model of cortical organization occurs by selection. Motivated by von Neumann's solution for obtaining reliability and by models of circulating cortical activity, we introduce Hebb intercolumnar couplings to achieve dramatic enhancements in reliability in the firing of connected columns. In order for these enhancements to occur, specific temporal phase differences must exist between the same inherent spatial-temporal memory patterns in connected columns. We then generalize the criteria of large enhancements in the global firing of the entire connected columnar network to investigate the case when different inherent memory patterns are in the columns. The spatial rotations as well as the temporal phases now are crucial. Only certain combinations of inherent memory patterns meet these criteria with the symmetry properties playing a major role. The columnar order of these memory patterns not in the same symmetry family can be extremely important. This yields the first higher-level architecture of a cortical language and grammar within the trion model. The implications of this result with regard to an innate human language and grammar are discussed. Received: 14 June 2000 / Accepted in revised form: 25 July 2000
Keywords:
本文献已被 PubMed SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号