Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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Handling Metadata in a Neurophysiology Laboratory.A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC

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Q27314008-FEF276BE-7333-4722-8560-AD56F067C783 Q57988577-E38D2B84-A09E-426F-A20D-BDE5843B74F8

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Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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wetenschappelijk artikel

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наукова стаття, опублікована у 2016

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Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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P1476

Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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P2093

Michael Denker

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Large-scale recording of neuronal ensembles

Multiple neural spike train data analysis: state-of-the-art and future challenges

Weak pairwise correlations imply strongly correlated network states in a neural population

The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.

Handling Metadata in a Neurophysiology Laboratory.

Neo: an object model for handling electrophysiology data in multiple formats

Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis

State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data

MEG and EEG data analysis with MNE-Python.

Imaging in vivo: watching the brain in action.

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58-72

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scholarly article

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10.1007/978-3-319-50862-7_5

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English

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Sonja Grün

P577

2016-01-01T00:00:00Z

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electrophysiology

reproducibility

workflow

Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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P1476

P2093

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P304

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P356

P407

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P921

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P2093

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P356

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P577

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