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神经网络中的表征与学习:一种概念性神经系统方法。

Representation and learning in neuronal networks: a conceptual nervous system approach.

作者信息

Eytan Danny

机构信息

Network Biology Research Laboratories, Lorry Lokey Interdisciplinary Center for Life Sciences and Engineering and Pediatrics A, Rambam Medical Center, Haifa, Israel.

出版信息

Rambam Maimonides Med J. 2011 Jul 31;2(3):e0054. doi: 10.5041/RMMJ.10054. Print 2011 Jul.

Abstract

The work presented in this review describes the use of large cortical networks developing ex vivo, in a culture dish, to study principles underlying synchronization, adaptation, learning, and representation in neuronal assemblies. The motivation to study neuronal networks ex vivo is outlined together with a short description of recent results in this field. Following a short description of the experimental system, a set of basic results will be presented that concern self-organization of activity, dynamical and functional properties of neurons and networks in response to external stimulation. This short review ends with an outline of future questions and research directions.

摘要

本综述中介绍的工作描述了在培养皿中离体培养大型皮质网络,以研究神经元集合中同步、适应、学习和表征背后的原理。文中概述了离体研究神经元网络的动机,并简要介绍了该领域的最新研究成果。在简短描述实验系统之后,将展示一组关于活动的自组织、神经元和网络对外部刺激的动态及功能特性的基础研究成果。这篇简短的综述最后列出了未来的问题和研究方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dac5/3678800/6c9b74d579eb/rmmj-2-3-e0054_Figure1.jpg

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