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生物启发的新皮层竞争学习中的负载平衡机制。

Biologically inspired load balancing mechanism in neocortical competitive learning.

机构信息

The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University Ramat-Gan, Israel.

The Biologically Inspired Neural and Dynamical Systems Laboratory, Computer Science Department, University of Massachusetts Amherst, MA, USA.

出版信息

Front Neural Circuits. 2014 Mar 11;8:18. doi: 10.3389/fncir.2014.00018. eCollection 2014.

DOI:10.3389/fncir.2014.00018
PMID:24653679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3949291/
Abstract

A unique delayed self-inhibitory pathway mediated by layer 5 Martinotti Cells was studied in a biologically inspired neural network simulation. Inclusion of this pathway along with layer 5 basket cell lateral inhibition caused balanced competitive learning, which led to the formation of neuronal clusters as were indeed reported in the same region. Martinotti pathway proves to act as a learning "conscience," causing overly successful regions in the network to restrict themselves and let others fire. It thus spreads connectivity more evenly throughout the net and solves the "dead unit" problem of clustering algorithms in a local and biologically plausible manner.

摘要

在一个受生物启发的神经网络模拟中,研究了一种由 5 层 Martinotti 细胞介导的独特的延迟自抑制途径。将这条途径与 5 层 basket 细胞的侧抑制结合在一起,导致了平衡竞争学习,从而形成了神经元簇,这与同一区域的实际报道一致。Martinotti 途径证明可以作为学习的“良心”,使网络中过于成功的区域自我限制,让其他区域活跃。因此,它以局部和合理的生物方式更均匀地扩展了网络的连接性,并解决了聚类算法的“死单元”问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/aef5680f8ea2/fncir-08-00018-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/14ddf24a1cb5/fncir-08-00018-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/2352440836a7/fncir-08-00018-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/e9cf5c83dc16/fncir-08-00018-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/9049d502398f/fncir-08-00018-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/aef5680f8ea2/fncir-08-00018-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/14ddf24a1cb5/fncir-08-00018-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/2352440836a7/fncir-08-00018-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/e9cf5c83dc16/fncir-08-00018-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/9049d502398f/fncir-08-00018-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5616/3949291/aef5680f8ea2/fncir-08-00018-g0005.jpg

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本文引用的文献

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Control of layer 5 pyramidal cell spiking by oscillatory inhibition in the distal apical dendrites: a computational modeling study.层 5 锥体神经元尖峰活动由远侧顶树突中的振荡抑制控制:计算建模研究。
J Neurophysiol. 2013 Jun;109(11):2739-56. doi: 10.1152/jn.00397.2012. Epub 2013 Mar 13.
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Statistical connectivity provides a sufficient foundation for specific functional connectivity in neocortical neural microcircuits.统计连接为新皮层神经微电路中的特定功能连接提供了充分的基础。
Proc Natl Acad Sci U S A. 2012 Oct 16;109(42):E2885-94. doi: 10.1073/pnas.1202128109. Epub 2012 Sep 18.
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The spike-timing dependence of plasticity.
突触传递的时间依赖性可塑性。
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How inhibition shapes cortical activity.抑制如何塑造皮层活动。
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Dense, unspecific connectivity of neocortical parvalbumin-positive interneurons: a canonical microcircuit for inhibition?层状、非特异的新皮层 parvalbumin 阳性中间神经元的连接:抑制的典型微回路?
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Dense inhibitory connectivity in neocortex.新皮层中的密集抑制性连接。
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Dendritic synapse location and neocortical spike-timing-dependent plasticity.树突状突触位置与新皮层尖峰时间依赖可塑性。
Front Synaptic Neurosci. 2010 Jul 21;2:29. doi: 10.3389/fnsyn.2010.00029. eCollection 2010.
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Temporal modulation of spike-timing-dependent plasticity.时变调制的尖峰时间依赖可塑性。
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