The Videre app provides a powerful solution for file-based analysis and visualization. It includes a rich feature set, including:
An interactive neural interface digital twin for file-based visualization of probe position, signal metrics, and spike activity in the target structure.
Highly performant system suitable for analysis of big-data Ephys datasets.
Probe-Centric Interface: Intuitive signal selection and ordering for spatially registering each signal trace with respect to probe and brain.
Powerful signal conditioning, including filtering and virtual referencing.
Python/MATLAB API: First-class Python API for complete real-time programmatic control of the system and workflow alongside the app UIs.
Spike Sorter: Innovative ML-based fast, automatic spike sorter to quantify recordings and responses.
Compatible with open neuroscience tools and workflows: Supports many common file formats. Primary data stays securely in the lab tagged with UIDs for maintaining complete data provenance.
– Intuitive UI for building complex, sequential procedures for data management and curation. – Extensive built-in list of signal conditioning and signal transforms, including time-series filtering and virtual referencing. – Powerful methods for slicing data sets in time and/or by signal. – Flexible methods for re-ordering signals in a data file. – Highly performant to handle datasets of all sizes, from individual short records to extensive big-data data archives. – Can be used in conjunction with the radiens python package for scripting data curation workflows and traversing complex file systems.
Radiens’ signal processing tab provides users with a suite of filters and referencing modes, allowing for comprehensive management, analysis, preprocessing, and feature extraction from raw signals.
Radiens’ HD Snapshot module offers users an effective means of signal visualization, utilizing all data points collected from recorded data to generate a precise and comprehensive representation of the signal. This facilitates closer inspection and analysis with exceptional accuracy.
Radiens 3D Model provides a distinctive and formidable approach to visualizing the activity of implanted electrodes during brain recordings. This innovative method generates a real-time 3D reconstruction of the brain, showcasing the recorded activity with exceptional clarity.
The Radiens framework has been carefully designed to enable researchers to seamlessly execute, post-process, and visualize extracellular datasets, without the need for any specialized coding skills.