Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA
Advanced computational models and simulations to unravel the complexities of brain function have known a growing interest in recent years in the field of neurosciences, driven by significant technological progress in computing platforms. Multicompartment models, which capture the detailed morphologi...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-11-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2024.1457774/full |
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| author | Romain Beaubois Romain Beaubois Romain Beaubois Romain Beaubois Jérémy Cheslet Jérémy Cheslet Jérémy Cheslet Yoshiho Ikeuchi Yoshiho Ikeuchi Yoshiho Ikeuchi Pascal Branchereau Timothee Levi |
| author_facet | Romain Beaubois Romain Beaubois Romain Beaubois Romain Beaubois Jérémy Cheslet Jérémy Cheslet Jérémy Cheslet Yoshiho Ikeuchi Yoshiho Ikeuchi Yoshiho Ikeuchi Pascal Branchereau Timothee Levi |
| author_sort | Romain Beaubois |
| collection | DOAJ |
| description | Advanced computational models and simulations to unravel the complexities of brain function have known a growing interest in recent years in the field of neurosciences, driven by significant technological progress in computing platforms. Multicompartment models, which capture the detailed morphological and functional properties of neural circuits, represent a significant advancement in this area providing more biological coherence than single compartment modeling. These models serve as a cornerstone for exploring the neural basis of sensory processing, learning paradigms, adaptive behaviors, and neurological disorders. Yet, the high complexity of these models presents a challenge for their real-time implementation, which is essential for exploring alternative therapies for neurological disorders such as electroceutics that rely on biohybrid interaction. Here, we present an accessible, user-friendly, and real-time emulator for multicompartment Hodgkin-Huxley neurons on SoC FPGA. Our system enables real-time emulation of multicompartment neurons while emphasizing cost-efficiency, flexibility, and ease of use. We showcase an implementation utilizing a technology that remains underrepresented in the current literature for this specific application. We anticipate that our system will contribute to the enhancement of computation platforms by presenting an alternative architecture for multicompartment computation. Additionally, it constitutes a step toward developing neuromorphic-based neuroprostheses for bioelectrical therapeutics through an embedded real-time platform running at a similar timescale to biological networks. |
| format | Article |
| id | doaj-art-da5f074bdbd0490d9c6f21c3b87f0fb3 |
| institution | Kabale University |
| issn | 1662-453X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj-art-da5f074bdbd0490d9c6f21c3b87f0fb32024-11-12T06:15:18ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2024-11-011810.3389/fnins.2024.14577741457774Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGARomain Beaubois0Romain Beaubois1Romain Beaubois2Romain Beaubois3Jérémy Cheslet4Jérémy Cheslet5Jérémy Cheslet6Yoshiho Ikeuchi7Yoshiho Ikeuchi8Yoshiho Ikeuchi9Pascal Branchereau10Timothee Levi11IMS, UMR5218, CNRS, University of Bordeaux, Talence, FranceInstitute of Industrial Science, The University of Tokyo, Tokyo, JapanLIMMS, CNRS-Institute of Industrial Science, UMI 2820, The University of Tokyo, Tokyo, JapanJSPS International Research Fellow, The University of Tokyo, Tokyo, JapanIMS, UMR5218, CNRS, University of Bordeaux, Talence, FranceInstitute of Industrial Science, The University of Tokyo, Tokyo, JapanLIMMS, CNRS-Institute of Industrial Science, UMI 2820, The University of Tokyo, Tokyo, JapanInstitute of Industrial Science, The University of Tokyo, Tokyo, JapanLIMMS, CNRS-Institute of Industrial Science, UMI 2820, The University of Tokyo, Tokyo, JapanInstitute for AI and Beyond, The University of Tokyo, Tokyo, JapanINCIA, UMR5287, CNRS, University of Bordeaux, Bordeaux, FranceIMS, UMR5218, CNRS, University of Bordeaux, Talence, FranceAdvanced computational models and simulations to unravel the complexities of brain function have known a growing interest in recent years in the field of neurosciences, driven by significant technological progress in computing platforms. Multicompartment models, which capture the detailed morphological and functional properties of neural circuits, represent a significant advancement in this area providing more biological coherence than single compartment modeling. These models serve as a cornerstone for exploring the neural basis of sensory processing, learning paradigms, adaptive behaviors, and neurological disorders. Yet, the high complexity of these models presents a challenge for their real-time implementation, which is essential for exploring alternative therapies for neurological disorders such as electroceutics that rely on biohybrid interaction. Here, we present an accessible, user-friendly, and real-time emulator for multicompartment Hodgkin-Huxley neurons on SoC FPGA. Our system enables real-time emulation of multicompartment neurons while emphasizing cost-efficiency, flexibility, and ease of use. We showcase an implementation utilizing a technology that remains underrepresented in the current literature for this specific application. We anticipate that our system will contribute to the enhancement of computation platforms by presenting an alternative architecture for multicompartment computation. Additionally, it constitutes a step toward developing neuromorphic-based neuroprostheses for bioelectrical therapeutics through an embedded real-time platform running at a similar timescale to biological networks.https://www.frontiersin.org/articles/10.3389/fnins.2024.1457774/fullSoC FPGAmulticompartment neuronsHodgkin-Huxleyreal-timespiking neural network |
| spellingShingle | Romain Beaubois Romain Beaubois Romain Beaubois Romain Beaubois Jérémy Cheslet Jérémy Cheslet Jérémy Cheslet Yoshiho Ikeuchi Yoshiho Ikeuchi Yoshiho Ikeuchi Pascal Branchereau Timothee Levi Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA Frontiers in Neuroscience SoC FPGA multicompartment neurons Hodgkin-Huxley real-time spiking neural network |
| title | Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA |
| title_full | Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA |
| title_fullStr | Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA |
| title_full_unstemmed | Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA |
| title_short | Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA |
| title_sort | real time multicompartment hodgkin huxley neuron emulation on soc fpga |
| topic | SoC FPGA multicompartment neurons Hodgkin-Huxley real-time spiking neural network |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2024.1457774/full |
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