In the field of neuroscience, a considerable number of commercial data acquisition and
processing solutions rely on proprietary formats for data storage. This often leads to data …

Recent advancements in technology and methodology have led to growing amounts of
increasingly complex neuroscience data recorded from various species, modalities, and …

Structured, efficient, and secure storage of experimental data and associated meta-
information constitutes one of the most pressing technical challenges in modern …

The distributed nature of nervous systems makes it necessary to record from a large number
of sites in order to decipher the neural code, whether single cell, local field potential (LFP) …

Neuronal recordings and computer simulations produce ever growing amounts of data,
impeding conventional analysis methods from keeping pace. Such large datasets can be …

Preparing a neurophysiological data set with the aim of sharing and publishing is hard.
Many of the available tools and services to provide a smooth workflow for data publication …

Acquisition, analysis and simulation of electrophysiological properties of the nervous system
require multiple software packages. This makes it difficult to conserve experimental …

Driven by the increasing channel count of neural probes, there is much effort being directed
to creating increasingly scalable electrophysiology data acquisition (DAQ) systems …

To understand neural encoding of neuropathic pain, evoked and resting activity of
peripheral human C-fibers are studied via microneurography experiments. Before different …

The INCF Program on Standards for Data Sharing has a working group that is developing a
standard for storing electrophysiology data in HDF5. The impetus for this effort is that many …