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Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
Published on: April 15, 2015
Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation
Sreedhar S Kumar1, Yannaël Bossard1,2, Rachel Sava1
1Bio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Researchers used high-density microelectrode arrays (HD-MEAs) to precisely control neuronal connectivity, demonstrating targeted synaptic strengthening and weakening. This breakthrough offers a foundation for advanced neurotherapeutics and biohybrid computing.
Area of Science:
- Neuroscience
- Bioengineering
- Computational Neuroscience
Background:
- Precise control of neuronal connectivity is crucial for neurotherapeutics and neuroengineering.
- Implementing Hebbian plasticity rules and verifying large-scale changes present significant technical challenges.
Purpose of the Study:
- To develop and validate a method for inducing and confirming targeted neuronal connectivity changes using high-density microelectrode arrays (HD-MEAs).
- To introduce and assess Conditional Activity Metrics (CAM) for quantifying plasticity-induced changes.
Main Methods:
- Utilized HD-MEAs with programmable stimulation and analytics for in vitro and ex vivo preparations.
- Developed Conditional Activity Metrics (CAM) to quantify changes in spike train timing and density.
- Validated synaptic modifications using simultaneous HD-MEA and patch-clamp recordings.
Main Results:
- CAM changes showed strong correlation with simulated synaptic weight changes.
- Experimentally induced robust synaptic strengthening/weakening in approximately 40% of tested neuronal pairs.
- Induced synaptic modifications persisted for at least 90 minutes in a subset of pairs.
Conclusions:
- Established a foundation for precise, high-throughput neuronal circuit reconfiguration.
- Demonstrated the potential of HD-MEAs and CAM for advancing neuroscience research.
- Highlighted a versatile platform for novel neurotherapeutics and biohybrid computing strategies.
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