Much development has been directed toward improving the performance and automation of
spike sorting. This continuous development, while essential, has contributed to an over …

The importance of effective research data management (RDM) strategies to support the
generation of Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience data …

Modeling in neuroscience occurs at the intersection of different points of view and
approaches. Typically, hypothesis-driven modeling brings a question into focus so that a …

We present an electrophysiological dataset recorded from nine subjects during a verbal
working memory task. Subjects were epilepsy patients undergoing intracranial monitoring …

To date, non-reproducibility of neurophysiological research is a matter of intense discussion
in the scientific community. A crucial component to enhance reproducibility is to …

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 …

Facilitating data sharing in scientific research, especially in the domain of animal studies,
holds immense value, particularly in mitigating distress and enhancing the efficiency of data …

An essential aspect of scientific reproducibility is a coherent and complete acquisition of
metadata along with the actual data of an experiment. The high degree of complexity and …

Establishing the cortical neural representation of visual stimuli is a central challenge of
systems neuroscience. Publicly available data would allow a broad range of scientific …

Natural sciences generate an increasing amount of data in a wide range of formats
developed by different research groups and commercial companies. At the same time there …