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000811008 0247_ $$2ISSN$$a1611-3349
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000811008 1001_ $$0P:(DE-HGF)0$$aHaemmerlé, Ollivier$$b0$$eEditor
000811008 245__ $$aExploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains
000811008 260__ $$aCham$$bSpringer International Publishing$$c2016
000811008 29510 $$aGraph-Based Representation and Reasoning / Haemmerlé, Ollivier (Editor)   ; Cham : Springer International Publishing, 2016, Chapter 1 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-40984-9=978-3-319-40985-6 ; doi:10.1007/978-3-319-40985-6
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000811008 4900_ $$aLecture Notes in Computer Science$$v9717
000811008 520__ $$aThe understanding of the mechanisms of information processing in the brain would yield practical impact on innovations such as brain-computer interfaces. Spatio-temporal patterns of spikes (or action potentials) produced by groups of neurons have been hypothesized to play an important role in cortical communication [1]. Due to modern advances in recording techniques at millisecond resolution, an empirical test of the spatio-temporal pattern hypothesis is now becoming possible in principle. However, existing methods for such a test are limited to a small number of parallel spike recordings. We propose a new method that is based on Formal Concept Analysis (FCA, [11]) to carry out this intensive search. We show that evaluating conceptual stability [18] is an effective way of separating background noise from interesting patterns, as assessed by precision and recall rates on ground truth data. Because of the scaling behavior of stability evaluation, our approach is only feasible on medium-sized data sets consisting of a few dozens of neurons recorded simultaneously for some seconds. We would therefore like to encourage investigations on how to improve this scaling, to facilitate research in this important area of computational neuroscience.
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000811008 7001_ $$0P:(DE-HGF)0$$aStapleton, Gem$$b1$$eEditor
000811008 7001_ $$0P:(DE-HGF)0$$aFaron Zucker, Catherine$$b2$$eEditor
000811008 7001_ $$0P:(DE-Juel1)161462$$aYegenoglu, Alper$$b3
000811008 7001_ $$0P:(DE-Juel1)164108$$aQuaglio, Pietro$$b4
000811008 7001_ $$0P:(DE-Juel1)145148$$aTorre, Emiliano$$b5
000811008 7001_ $$0P:(DE-Juel1)144168$$aGrün, Sonja$$b6$$eCorresponding author
000811008 7001_ $$0P:(DE-HGF)0$$aEndres, Dominik$$b7$$eCorresponding author
000811008 773__ $$a10.1007/978-3-319-40985-6_1
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000811008 9141_ $$y2016
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000811008 9201_ $$0I:(DE-Juel1)INM-6-20090406$$kINM-6$$lComputational and Systems Neuroscience$$x0
000811008 9201_ $$0I:(DE-Juel1)IAS-6-20130828$$kIAS-6$$lTheoretical Neuroscience$$x1
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