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Related Concept Videos

Neural Circuits01:25

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Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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Open and remotely accessible Neuroplatform for research in wetware computing.

Fred D Jordan1, Martin Kutter1, Jean-Marc Comby1

  • 1FinalSpark, Rue du Clos 12, Vevey, Switzerland.

Frontiers in Artificial Intelligence
|May 17, 2024
PubMed
Summary

Researchers developed the Neuroplatform for large-scale wetware computing experiments using neural organoids. This system enables 24/7 monitoring and automated control for advancing organoid intelligence research.

Keywords:
AIbiocomputingbiological neural networkhybrotorganoid intelligencesynthetic biologywetware computing

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Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Computational Biology

Background:

  • Wetware computing and organoid intelligence merge electrophysiology and AI.
  • Biological neural networks require novel methods for computation, distinct from Artificial Neural Networks (ANNs).
  • Developing these methods necessitates a scalable experimental system for global researcher access.

Purpose of the Study:

  • To introduce the Neuroplatform, a hardware and software system for large-scale electrophysiological experiments.
  • To enable long-term (100+ days) experiments on neural organoids.
  • To facilitate remote research and complex experimental designs.

Main Methods:

  • Developed a streamlined process for rapid neural organoid production.
  • Implemented 24/7 action potential monitoring and electrical stimulation capabilities.
  • Integrated a microfluidic system for automated medium exchange, ensuring stable conditions.
  • Designed a comprehensive Application Programming Interface (API) for remote control of electrophysiological operations, pumps, cameras, and UV lights.
  • Enabled complex 24/7 experiments, including closed-loop strategies and deep/reinforcement learning integration.

Main Results:

  • The Neuroplatform has been used with over 1,000 brain organoids over three years.
  • Collected over 18 terabytes of electrophysiological data.
  • The system supports fully remote research via Python libraries and Jupyter Notebooks.
  • Currently available freely for research purposes in 2024.

Conclusions:

  • The Neuroplatform provides an unprecedented scale for electrophysiological experiments on neural organoids.
  • Its automated features and remote accessibility accelerate research in wetware computing and organoid intelligence.
  • The system empowers global researchers to explore novel computational methods using biological neural networks.