Academic Journal
Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA.
| Τίτλος: | Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA. |
|---|---|
| Συγγραφείς: | Beaubois, Romain, Cheslet, Jérémy, Ikeuchi, Yoshiho, Branchereau, Pascal, Levi, Timothee |
| Πηγή: | Frontiers in Neuroscience; 2024, p1-15, 15p |
| Θεματικοί όροι: | Neural circuitry, Neurological disorders, Biological networks, Computing platforms, Technological progress |
| Περίληψη: | 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Frontiers in Neuroscience is the property of Frontiers Media S.A. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Beaubois%2C+Romain%22">Beaubois, Romain</searchLink><br /><searchLink fieldCode="AR" term="%22Cheslet%2C+Jérémy%22">Cheslet, Jérémy</searchLink><br /><searchLink fieldCode="AR" term="%22Ikeuchi%2C+Yoshiho%22">Ikeuchi, Yoshiho</searchLink><br /><searchLink fieldCode="AR" term="%22Branchereau%2C+Pascal%22">Branchereau, Pascal</searchLink><br /><searchLink fieldCode="AR" term="%22Levi%2C+Timothee%22">Levi, Timothee</searchLink> – Name: TitleSource Label: Source Group: Src Data: Frontiers in Neuroscience; 2024, p1-15, 15p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Neural+circuitry%22">Neural circuitry</searchLink><br /><searchLink fieldCode="DE" term="%22Neurological+disorders%22">Neurological disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+networks%22">Biological networks</searchLink><br /><searchLink fieldCode="DE" term="%22Computing+platforms%22">Computing platforms</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+progress%22">Technological progress</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Frontiers in Neuroscience is the property of Frontiers Media S.A. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fnins.2024.1457774 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Subjects: – SubjectFull: Neural circuitry Type: general – SubjectFull: Neurological disorders Type: general – SubjectFull: Biological networks Type: general – SubjectFull: Computing platforms Type: general – SubjectFull: Technological progress Type: general Titles: – TitleFull: Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Beaubois, Romain – PersonEntity: Name: NameFull: Cheslet, Jérémy – PersonEntity: Name: NameFull: Ikeuchi, Yoshiho – PersonEntity: Name: NameFull: Branchereau, Pascal – PersonEntity: Name: NameFull: Levi, Timothee IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 11 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 16624548 Titles: – TitleFull: Frontiers in Neuroscience Type: main |
| ResultId | 1 |