2017年数理神经科学国际会议特刊。

IF 2.3 4区医学 Q1 Neuroscience

Journal of Mathematical Neuroscience Pub Date : 2019-01-07 DOI:10.1186/s13408-018-0069-5

Zachary P Kilpatrick, Julijana Gjorgjieva, Robert Rosenbaum

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引用次数: 0

摘要

在神经科学中不断获得大量和多方面的数据集需要新的数学工具来定量地奠定这些实验发现的基础。自2015年以来，国际数学神经科学会议(ICMNS)为研究人员提供了一个讨论当前神经科学中出现的数学创新的论坛。本期特刊汇集了5月30日至6月2日在科罗拉多州博尔德举行的2017年ICMNS上发表的最新研究和教程。会议讨论的主题包括网络活动的相关分析、可塑性突触的信息论、吸引子神经网络的组合学和神经科学的新数据同化方法——所有这些都将在本期特刊中有所介绍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Special Issue from the 2017 International Conference on Mathematical Neuroscience.

The ongoing acquisition of large and multifaceted data sets in neuroscience requires new mathematical tools for quantitatively grounding these experimental findings. Since 2015, the International Conference on Mathematical Neuroscience (ICMNS) has provided a forum for researchers to discuss current mathematical innovations emerging in neuroscience. This special issue assembles current research and tutorials that were presented at the 2017 ICMNS held in Boulder, Colorado from May 30 to June 2. Topics discussed at the meeting include correlation analysis of network activity, information theory for plastic synapses, combinatorics for attractor neural networks, and novel data assimilation methods for neuroscience-all of which are represented in this special issue.

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来源期刊

Journal of Mathematical Neuroscience Neuroscience-Neuroscience (miscellaneous)

自引率

0.00%

发文量

审稿时长

13 weeks

期刊介绍： The Journal of Mathematical Neuroscience (JMN) publishes research articles on the mathematical modeling and analysis of all areas of neuroscience, i.e., the study of the nervous system and its dysfunctions. The focus is on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behaviours in neuroscience at all relevant scales, from the molecular world to that of cognition. The aim is to publish work that uses advanced mathematical techniques to illuminate these questions. It publishes full length original papers, rapid communications and review articles. Papers that combine theoretical results supported by convincing numerical experiments are especially encouraged. Papers that introduce and help develop those new pieces of mathematical theory which are likely to be relevant to future studies of the nervous system in general and the human brain in particular are also welcome.