A 2-Bit-Per-Cycle SAR ADC prototype for application in Biohybrid Systems Interfacing

The exploration of bioelectric action potentials within fungal mycelium networks has created new possibilities for the development of biohybrid systems for sensingand communication. With recent studies suggesting possible neuromorphic processing through distinct patterns of electrical spikes, the demand to interface with such networks increases. However, reliable capturing and processing of such signals due to their low frequency, amplitude, and noise susceptibility presents a significant engineering challenge; this work demonstrates a prototype of a successive approximation register analogue to digital converter designed to facilitate accuratedata acquisition of biological signals. The proposed design is capable of resolving 2 bits per conversion cycle by employing a four-fully-differential-comparator scheme and dynamic voltage scaling, achieving higher bit rates without sacrifices in terms of power consumption or resolution. Initial FPGA-in-the-loop simulations demonstrate the concept’s functionality setting the foundation for developing advanced biohybrid interface systems, thus supporting novel applications in the emerging fields ofneuromorphic computing and environmental sensing.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-10
DOI
https://doi.org/10.5281/zenodo.15656016
Primary Topic
Plant and Biological Electrophysiology Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

A 2-Bit-Per-Cycle SAR ADC prototype for application in Biohybrid Systems Interfacing

Zenodo (CERN European Organization for Nuclear Research)
Plant and Biological Electrophysiology Studies
article

A 2-Bit-Per-Cycle SAR ADC prototype for application in Biohybrid Systems Interfacing

article en

Abstract

The exploration of bioelectric action potentials within fungal mycelium networks has created new possibilities for the development of biohybrid systems for sensingand communication. With recent studies suggesting possible neuromorphic processing through distinct patterns of electrical spikes, the demand to interface with such networks increases. However, reliable capturing and processing of such signals due to their low frequency, amplitude, and noise susceptibility presents a significant engineering challenge; this work demonstrates a prototype of a successive approximation register analogue to digital converter designed to facilitate accuratedata acquisition of biological signals. The proposed design is capable of resolving 2 bits per conversion cycle by employing a four-fully-differential-comparator scheme and dynamic voltage scaling, achieving higher bit rates without sacrifices in terms of power consumption or resolution. Initial FPGA-in-the-loop simulations demonstrate the concept’s functionality setting the foundation for developing advanced biohybrid interface systems, thus supporting novel applications in the emerging fields ofneuromorphic computing and environmental sensing.

Zenodo (CERN European Organization for Nuclear Research)
Democritus University of Thrace (GR), University of the West of England (GB), Royal Danish Academy – Architecture, Design, Conservation (DK), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 67%
Plant and Biological Electrophysiology Studies
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