PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS

Decoding Neuropathic Pain: Can We Predict Fluctuations of Propagation Speed in Stimulated Peripheral Nerve?

(2022) Ekaterina Kutafina et al.   Frontiers in Computational Neuroscience

The Neurodata Without Borders ecosystem for neurophysiological data science

(2022) Oliver Rübel et al.   eLife

Array programming with NumPy

(2020) Charles R. Harris et al.   NATURE

Proprietary data formats block health research

(2019) Philipp Berens et al.   NATURE

Microneurography as a tool to study the function of individual C-fiber afferents in humans: responses from nociceptors, thermoreceptors, and mechanoreceptors

(2018) Rochelle Ackerley et al.   JOURNAL OF NEUROPHYSIOLOGY

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data

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

(2014) Samuel Garcia et al.   Frontiers in Neuroinformatics

File format and library for neuroscience data and metadata

(2014) Stoewer Adrian et al.   Frontiers in Neuroinformatics

From proprietary to open source—Growing an open source ecosystem

(2011) Terhi Kilamo et al.   JOURNAL OF SYSTEMS AND SOFTWARE

A Bottom-up Approach to Data Annotation in Neurophysiology

(2011) Jan Grewe et al.   Frontiers in Neuroinformatics