NeuroMatic

NeuroMatic provides acquisition, analysis, and simulation of electrophysiological data to support investigation of neuronal dynamics and synaptic function.

Key Features:

• Data Acquisition: Supports episodic, continuous, and triggered electrophysiological recordings.
• Data Analysis: Provides spike raster visualization, spontaneous event detection, curve fitting, and stationarity assessment.
• Simulations: Implements stochastic synaptic transmission models, synaptic short-term plasticity simulations, integrate-and-fire models, and Hodgkin-Huxley-like single-compartment neuron models.
• Integration with Igor Pro: Operates within Igor Pro to combine acquisition, analysis, and simulation functions and produce publication-quality graphics.

Scientific Applications:

• Electrophysiological studies: Supports offline analysis and online data processing during experiments.
• Dynamic-clamp experiments: Enables real-time simulation of synaptic conductance trains for dynamic-clamp implementations.
• Computational hypothesis testing: Facilitates exploration of neuronal and circuit behavior using stochastic synaptic models, short-term plasticity, integrate-and-fire, and Hodgkin-Huxley-like simulations.

Methodology:

Consolidates acquisition, analysis, and simulation functions within Igor Pro and supports conservation of experimental metadata and tracking of analyses performed.