Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA DOI Creative Commons
Romain Beaubois,

Jérémy Cheslet,

Yoshiho Ikeuchi

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Nov. 12, 2024

Advanced computational models and simulations to unravel the complexities of brain function have known a growing interest in recent years field neurosciences, driven by significant technological progress computing platforms. Multicompartment models, which capture detailed morphological functional properties neural circuits, represent advancement this area providing more biological coherence than single compartment modeling. These serve as cornerstone for exploring basis sensory processing, learning paradigms, adaptive behaviors, neurological disorders. Yet, high complexity these presents challenge their real-time implementation, is essential alternative therapies disorders such electroceutics that rely on biohybrid interaction. Here, we present an accessible, user-friendly, emulator multicompartment Hodgkin-Huxley neurons SoC FPGA. Our system enables emulation while emphasizing cost-efficiency, flexibility, ease use. We showcase implementation utilizing technology remains underrepresented current literature specific application. anticipate our will contribute enhancement computation platforms presenting architecture computation. Additionally, it constitutes step toward developing neuromorphic-based neuroprostheses bioelectrical therapeutics through embedded platform running at similar timescale networks.

Language: Английский

Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA DOI Creative Commons
Romain Beaubois,

Jérémy Cheslet,

Yoshiho Ikeuchi

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Nov. 12, 2024

Advanced computational models and simulations to unravel the complexities of brain function have known a growing interest in recent years field neurosciences, driven by significant technological progress computing platforms. Multicompartment models, which capture detailed morphological functional properties neural circuits, represent advancement this area providing more biological coherence than single compartment modeling. These serve as cornerstone for exploring basis sensory processing, learning paradigms, adaptive behaviors, neurological disorders. Yet, high complexity these presents challenge their real-time implementation, is essential alternative therapies disorders such electroceutics that rely on biohybrid interaction. Here, we present an accessible, user-friendly, emulator multicompartment Hodgkin-Huxley neurons SoC FPGA. Our system enables emulation while emphasizing cost-efficiency, flexibility, ease use. We showcase implementation utilizing technology remains underrepresented current literature specific application. anticipate our will contribute enhancement computation platforms presenting architecture computation. Additionally, it constitutes step toward developing neuromorphic-based neuroprostheses bioelectrical therapeutics through embedded platform running at similar timescale networks.

Language: Английский

Citations

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