Research Topic

Design and Applications of Biohybrid Circuits Between Biological and Silicon Neurons

About this Research Topic

Biohybrid circuits are a type of neural interface that rely on the bidirectional communication between biological neurons (wetware) and neural models implemented in software and/or hardware. These neural interfaces have numerous applications in experimental and clinical neuroscience, including closed-loop electrophysiology, brain-machine interfaces, and neuroprosthetics.

Standard technologies severely limit the range of spatial and temporal scales with which we can interface the wetware with the software and hardware components. Experimentally, there is a trade-off between the accessibility of the level of biological organization and the number of individual neurons that can be recorded and stimulated simultaneously. For the software and hardware components, the real-time operation of biohybrid circuits imposes stringent design constraints on their communication, bandwidth, and memory architectures, resulting in a trade-off between the number of simulated neurons and their computational complexity.

The aim of this Research Topic is to provide an interdisciplinary overview of recent advances in biosensing technology, neuromorphic engineering, and memristive systems that can leverage the different trade-offs imposed on the wetware, software, and hardware components of biohybrid systems in order to scale up biohybrid circuits to the network level with single-cell resolution. We also aim to bring together researchers neuroscientists and neural engineers working on different continents and provide a platform to: i) discuss further research directions and applications for biohybrid systems; and ii) build a community of researchers and promote future international collaborative research efforts.

In this Research Topic, we welcome articles focused on the design and applications of biohybrid
circuits in experimental and clinical neuroscience.
Some potential themes of interest for this Research Topic include but are not limited to:

- closed-loop neuroscience at the single-cell and network levels
- design and applications of CMOS MEAs
- design and applications of nanowire arrays
- design an application of optical systems for recording and stimulation
- design and application of microfluidic systems for biohybrid experiments
- software tools for the configuration, calibration, and real-time control of neuromorphic devices
- implementation of event-based computational models in software and hardware
- event-based neuromorphic sensors
- implementation of biologically realistic neural models in neuromorphic hardware
- neuromorphic processors in brain-machine interfaces, body-machine interfaces and neuroprosthetics
- design and applications of memristive devices in neuromorphic engineering and neural interfaces

The resulting collection of original research articles, reviews, and commentaries will be a reference for the research on large-scale biohybrid circuits between networks of biological and silicon neurons, advancing the research further through discussions and new international collaborative efforts between neural engineers and experimental, computational, and cognitive neuroscientists.


Keywords: neuromorphic engineering, closed-loop neural interfaces, biohybrid circuits, memristive systems, multi-electrode arrays, neuroprosthetics


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Biohybrid circuits are a type of neural interface that rely on the bidirectional communication between biological neurons (wetware) and neural models implemented in software and/or hardware. These neural interfaces have numerous applications in experimental and clinical neuroscience, including closed-loop electrophysiology, brain-machine interfaces, and neuroprosthetics.

Standard technologies severely limit the range of spatial and temporal scales with which we can interface the wetware with the software and hardware components. Experimentally, there is a trade-off between the accessibility of the level of biological organization and the number of individual neurons that can be recorded and stimulated simultaneously. For the software and hardware components, the real-time operation of biohybrid circuits imposes stringent design constraints on their communication, bandwidth, and memory architectures, resulting in a trade-off between the number of simulated neurons and their computational complexity.

The aim of this Research Topic is to provide an interdisciplinary overview of recent advances in biosensing technology, neuromorphic engineering, and memristive systems that can leverage the different trade-offs imposed on the wetware, software, and hardware components of biohybrid systems in order to scale up biohybrid circuits to the network level with single-cell resolution. We also aim to bring together researchers neuroscientists and neural engineers working on different continents and provide a platform to: i) discuss further research directions and applications for biohybrid systems; and ii) build a community of researchers and promote future international collaborative research efforts.

In this Research Topic, we welcome articles focused on the design and applications of biohybrid
circuits in experimental and clinical neuroscience.
Some potential themes of interest for this Research Topic include but are not limited to:

- closed-loop neuroscience at the single-cell and network levels
- design and applications of CMOS MEAs
- design and applications of nanowire arrays
- design an application of optical systems for recording and stimulation
- design and application of microfluidic systems for biohybrid experiments
- software tools for the configuration, calibration, and real-time control of neuromorphic devices
- implementation of event-based computational models in software and hardware
- event-based neuromorphic sensors
- implementation of biologically realistic neural models in neuromorphic hardware
- neuromorphic processors in brain-machine interfaces, body-machine interfaces and neuroprosthetics
- design and applications of memristive devices in neuromorphic engineering and neural interfaces

The resulting collection of original research articles, reviews, and commentaries will be a reference for the research on large-scale biohybrid circuits between networks of biological and silicon neurons, advancing the research further through discussions and new international collaborative efforts between neural engineers and experimental, computational, and cognitive neuroscientists.


Keywords: neuromorphic engineering, closed-loop neural interfaces, biohybrid circuits, memristive systems, multi-electrode arrays, neuroprosthetics


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

21 June 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

21 June 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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