Virtual white matter: a novel system for cross-dish neural interaction and modulation.

Area of Science:

• Neuroscience
• Biocomputing
• Bioengineering

Background:

• Biological neural networks (BNNs) exhibit complex interregional connectivity crucial for brain function.
• Current in vitro models lack the capacity to replicate interregional dynamics and hybrid biological-digital system integration.
• Limited research has focused on interconnecting multiple BNNs for advanced information processing.

Purpose of the Study:

• To introduce Virtual White Matter (VWM), a novel platform for real-time functional digital connectivity between separate neural cultures.
• To demonstrate VWM's capability in recreating bidirectional inter-regional neural communication.
• To validate the conceptual framework, technical implementation, and proof-of-concept of the VWM system.

Main Methods:

• Development of the VWM platform enabling real-time functional digital connectivity between neural cultures in separate microelectrode array dishes.
• Detection of neural activity in one dish and provision of precisely timed electrical stimulation to another.
• Proof-of-concept validation of the VWM system's functionality.

Main Results:

• VWM enables controlled interactions between heterogeneous neural cultures, advancing in vitro modeling and data processing.
• The platform facilitates the investigation of dynamic network behaviors.
• Successful integration with both biological and artificial neural networks was demonstrated.

Conclusions:

• VWM establishes a reliable interconnection for biocomputing, wetware computing, and organic intelligence.
• The platform has potential applications in therapeutic interventions, particularly those involving directed neural plasticity.
• VWM enables the construction of complex in vitro models with human brain-like neural connectivity, bridging biological and digital systems.