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

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

http://www.wikidata.org/entity/Q28658834

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Handling Metadata in a Neurophysiology Laboratory.NSDF: Neuroscience Simulation Data Format Integrated platform and API for electrophysiological data Data management routines for reproducible research using the G-Node Python Client library.Analyzing large-scale spiking neural data with HRLAnalysis(™)Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach.Collection of Simulated Data from a Thalamocortical Network Model.A scalable neuroinformatics data flow for electrophysiological signals using MapReduce A flexible, interactive software tool for fitting the parameters of neuronal models.Python in neuroscience.Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks.NeuroManager: a workflow analysis based simulation management engine for computational neuroscience.NeoAnalysis: a Python-based toolbox for quick electrophysiological data processing and analysis.A High-Bandwidth Dual-Channel Olfactory Stimulator for Studying Temporal Sensitivity of Olfactory Processing.MEA Viewer: A high-performance interactive application for visualizing electrophysiological data.A Bit-Encoding Based New Data Structure for Time and Memory Efficient Handling of Spike Times in an Electrophysiological Setup.Arkheia: Data Management and Communication for Open Computational Neuroscience.Experimental Directory Structure (Exdir): An Alternative to HDF5 Without Introducing a New File Format.Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task.FindSim: A Framework for Integrating Neuronal Data and Signaling Models.Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC Designing Workflows for the Reproducible Analysis of Electrophysiological Data

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P2860

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

http://www.wikidata.org/entity/Q28658834

description

2014 nî lūn-bûn

@nan

2014 թուականին հրատարակուած գիտական յօդուած

@hyw

2014 թվականին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

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2014年论文

@wuu

name

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

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

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

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

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

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

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prefLabel

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

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

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

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FNINF.2014.00010

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Frontiers in Neuroinformatics

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

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Andrew P Davison

http://www.w3.org/2001/XMLSchema#string

Andrey Sobolev

http://www.w3.org/2001/XMLSchema#string

Philipp L Rautenberg

http://www.w3.org/2001/XMLSchema#string

Robert Pröpper

http://www.w3.org/2001/XMLSchema#string

Samuel Garcia

http://www.w3.org/2001/XMLSchema#string

Todd Jennings

http://www.w3.org/2001/XMLSchema#string

P2860

A simple format for exchange of digitized polygraphic recordings

European data format 'plus' (EDF+), an EDF alike standard format for the exchange of physiological data

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

Open is Not Enough. Let's Take the Next Step: An Integrated, Community-Driven Computing Platform for Neuroscience

Data management routines for reproducible research using the G-Node Python Client library.

PyNN: A Common Interface for Neuronal Network Simulators.

OpenElectrophy: An Electrophysiological Data- and Analysis-Sharing Framework.

A Bottom-up Approach to Data Annotation in Neurophysiology.

SignalML: metaformat for description of biomedical time series.

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10

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4492349

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10.3389/FNINF.2014.00010

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P478

8

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Thomas Wachtler

Florent Jaillet

Domenico Guarino

Chris C Rodgers

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2014-02-20T00:00:00Z

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260560492

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24600386

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electrophysiology

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3930095

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