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Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA.
Romain Beaubois1,2,3,4, Jérémy Cheslet1,2,3, Yoshiho Ikeuchi2,3,5
1IMS, UMR5218, CNRS, University of Bordeaux, Talence, France.
Frontiers in Neuroscience
|November 27, 2024
Summary
We developed a real-time emulator for multicompartment Hodgkin-Huxley neurons on SoC FPGAs. This accessible system advances computational neuroscience and neuromorphic engineering for bioelectronic therapies.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Neuromorphic Engineering
Background:
- Advanced computational models are crucial for understanding brain function.
- Multicompartment models offer greater biological realism than single-compartment models.
- Real-time implementation of complex neural models is essential for developing bioelectronic therapies.
Purpose of the Study:
- To present an accessible, user-friendly, real-time emulator for multicompartment Hodgkin-Huxley neurons.
- To enable real-time emulation of neural circuits on System-on-Chip Field-Programmable Gate Arrays (SoC FPGAs).
- To provide a cost-efficient and flexible platform for computational neuroscience research.
Main Methods:
- Development of a real-time emulator for multicompartment Hodgkin-Huxley neurons.
- Implementation on SoC FPGA technology.
- Emphasis on cost-efficiency, flexibility, and ease of use.
Main Results:
- Successful real-time emulation of multicompartment neurons.
- Demonstration of an underrepresented technology for this application.
- Creation of an alternative architecture for multicompartment computation.
Conclusions:
- The developed system enhances computational platforms for neuroscience.
- It represents a step towards neuromorphic neuroprostheses for bioelectronic therapies.
- The platform operates in real-time, synchronized with biological networks.
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