Software and hardware infrastructure for research in electrophysiology

Area of Science:

• Neuroscience
• Bioinformatics
• Computational Biology

Background:

• Electrophysiology research involves time-consuming tasks like data collection, analysis, and sharing.
• Efficient organization and infrastructure are crucial for improving researcher productivity.

Purpose of the Study:

• To present the design and development of a comprehensive software and hardware infrastructure for electrophysiology research.
• To create an open and applicable system for neuroinformatics laboratories.

Main Methods:

• Development of a web-based portal for data and metadata storage, sharing, and searching.
• Implementation of data models, domain ontologies, and semantic web technologies.
• Adaptation of electrophysiological signal processing methods into a laboratory workflow.
• Integration of mobile/offline data solutions and a hardware stimulator.

Main Results:

• A functional web portal enabling collaborative data management for electrophysiological experiments.
• A structured workflow for processing electrophysiological signals.
• A registered portal within the Neuroscience Information Framework.
• An integrated system combining software and hardware components.

Conclusions:

• The developed infrastructure significantly boosts research efficiency in electrophysiology.
• The open design ensures applicability across various research laboratories.
• The system facilitates data sharing and promotes collaborative research in neuroscience.