Electrophysiology, defined.

Single-session recording, typically under anesthesia.

Real-time electrophysiology data acquisition software with live quality control, continuous monitoring, and multi-format support. Compatible with all major DAQ systems (Intan, Open Ephys, Plexon, TDT)—automatic hardware detection and zero configuration required. Part of the Radiens Clarity platform for edge-to-cloud neural recording workflows. 30-day risk-free trial available.

Plot of spike timing auto-correlation across time lags, revealing rhythmic firing patterns and bursting behavior.

Filter that passes a selected frequency range while removing lower and higher frequencies, essential for separating spikes from LFPs.

Range of frequencies that can be recorded by the system.

Long-term implants enabling recording across days to months.

Real-time detection of signal quality deviations with feedback to the researcher for in-session intervention.

Frequency-resolved correlation between two signals (0–1), quantifying neural coupling between brain regions or channels.

Re-referencing method that subtracts the mean signal across channels to reduce shared noise in multi-channel recordings.

Metadata management and reproducible pipeline software implementing FAIR data principles for electrophysiology research. Organize existing data folders without moving or copying files—zero migration required. NWB/BIDS compliant with version-controlled workflows and provenance tracking. Part of the Radiens Clarity platform for comprehensive workflow documentation and collaboration. 30-day risk-free trial available.

Calculated estimate of transmembrane current density from multi-channel LFPs, used to identify synaptic sources and sinks.

The documented history of a dataset: how it was acquired, processed, assessed, and curated.

Amount of data storage required for neural recordings.

Measurement of electrical properties of biological cells and tissues.

Gradual change in electrode impedance over time, indicating evolving tissue response or electrode degradation.

Recording neural activity from living animals.

Neural data analysis that incorporates channel-level quality profiles from acquisition and curation.

Data archiving with embedded quality metadata enabling search, longitudinal tracking, and reproducibility.

Data curation informed by quantitative signal quality metrics from acquisition.

Time between consecutive spikes in a spike train, used to characterize firing regularity, bursting, and refractory periods.

Descriptive information about recorded data including subject, date, sampling rate, hardware configuration, and processing history.

An open standard for neurophysiology data and metadata, enabling interoperability and reproducibility.

Narrow-band filter that removes a specific frequency (typically 50 or 60 Hz mains noise) from neural recordings.

Histogram of spike counts aligned to a stimulus or event across trials, revealing time-locked neural responses.

Unified edge-to-cloud electrophysiology software platform for neural data acquisition, analysis, curation, and automation. Used by 200+ research institutions worldwide. Record, triage, curate, analyze, and automate workflows without reorganizing a single folder—zero migration required. Permanent BASE license ensures perpetual access. 30-day risk-free trial available.

Comprehensive Python API for programmatic access to Radiens platform capabilities. Available via pip/conda with Python 3.8-3.14 support. Seamless Jupyter integration. Enables automation, custom workflows, and scripting across acquisition (Allego), analysis (Videre), and curation (Curate) with complete GUI ↔ API parity. Actively maintained with extensive documentation.

Visualization with rows as trials and tick marks at spike times, showing trial-by-trial timing precision.

Purchasing workflow where users submit a product selection for pricing and availability from a NeuroNexus account executive.

How many times per second voltage is measured on each channel.

Quality information that flows from acquisition through every downstream workflow stage.

Ratio of neural signal amplitude to background noise level.

Time–frequency map showing signal power distribution across time, revealing neural oscillation dynamics.

A neuronal action potential recorded extracellularly, typically 0.8–1.5 ms in duration, identified by its characteristic waveform shape.

Computational process of separating spikes from different neurons.

Time-ordered sequence of neuronal action potentials represented as timestamped events, the fundamental data for single-neuron analysis.

File-based neural data visualization and analysis software with 3D probe views, universal format compatibility (20+ formats), and interactive exploration tools. Open any neural data format without conversion—.xdat, .rhd, .nwb, .pl2, .hdf5, .mat, and more. Part of the Radiens Clarity platform for comprehensive electrophysiology workflows. 30-day risk-free trial available.