Dynamic clamp in cardiac and neuronal systems using RTXI.

Area of Science:

• Computational Neuroscience
• Biophysics
• Electrophysiology

Background:

• Dynamic clamp integrates computational models with biological systems for precise electrophysiological studies.
• It enables applications like creating hybrid neural networks and simulating cardiac channelopathies.

Purpose of the Study:

• To provide an overview of designing and implementing dynamic clamp experiments.
• To demonstrate the use of the Real-Time eXperiment Interface (RTXI) software for these experiments.

Main Methods:

• Utilizing the dynamic clamp technique to inject computer-simulated conductances.
• Employing the Real-Time eXperiment Interface (RTXI), an open-source software for real-time biological experiments.
• Implementing experiments via custom RTXI modules or existing library modules.

Main Results:

• Demonstrated artificial blocking of inward rectifier potassium current in cardiomyocytes.
• Showcased coupling a biological neuron to a virtual neuron via a virtual synapse.
• Presented two methods for dynamic clamp implementation using RTXI's modular design.

Conclusions:

• Dynamic clamp is a versatile tool for investigating cellular dynamics in cardiac and neuronal systems.
• RTXI software offers a flexible platform for designing and executing dynamic clamp experiments.
• The presented methods facilitate the application of dynamic clamp in diverse research settings.