Iris 128x: open-source 128 channel headstages for neural stimulation and recording

<i>Objective.</i>Investigation into complex neural circuits necessitates interfaces capable of high channel count recording and stimulation. However, existing commercial neural headstages often have limited scalability, restrictive proprietary designs, and constrained bidirectional capabilities, which worsens accessibility challenges and compels researchers to reinvent tools rather than build on a shared foundation.<i>Approach.</i>Here, we present two open-source, 128 channel headstages-Iris 128B and Iris 128S-designed for integration with microelectrode arrays. The Iris 128B enables fully bidirectional interfacing, with stimulation or recording across all 128 electrode channels, while the Iris 128S provides recording on 128 channels and stimulation on 16 simultaneous channels, which can be assigned to any 16 of the 32 available stimulation channels. Both designs use Intan Technologies' RHS and RHD series integrated circuits for amplification, filtering, digitization and stimulation, and are available on GitHub.<i>Main results.</i>The headstages were validated through benchtop impedance, noise, and frequency response measurements, as well as acute<i>in vivo</i>recordings in an anesthetized rat. Results demonstrate low noise levels and reliable signal acquisition across all channels.<i>Significance.</i>By releasing fully documented printed circuit board designs for headstages, this work aims to take a step towards broader adoption of bidirectional recording and stimulation systems while increasing channel counts. Future iterations will focus on miniaturization and wireless integration to improve usability in chronic and freely moving small animal experiments.

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Publication Details

Journal
Journal of Neural Engineering
Published
2025-10-28
DOI
https://doi.org/10.1088/1741-2552/ae1876
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
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article

Iris 128x: open-source 128 channel headstages for neural stimulation and recording

Rebecca A. Frederick, Manuel Monge, Elizabeth Jacobs, Felix Deku et al.
Journal of Neural Engineering
Neuroscience and Neural Engineering
article

Iris 128x: open-source 128 channel headstages for neural stimulation and recording

Rebecca A. Frederick, Manuel Monge, Elizabeth Jacobs, Felix Deku, Ander Switalla
article en

Abstract

<i>Objective.</i>Investigation into complex neural circuits necessitates interfaces capable of high channel count recording and stimulation. However, existing commercial neural headstages often have limited scalability, restrictive proprietary designs, and constrained bidirectional capabilities, which worsens accessibility challenges and compels researchers to reinvent tools rather than build on a shared foundation.<i>Approach.</i>Here, we present two open-source, 128 channel headstages-Iris 128B and Iris 128S-designed for integration with microelectrode arrays. The Iris 128B enables fully bidirectional interfacing, with stimulation or recording across all 128 electrode channels, while the Iris 128S provides recording on 128 channels and stimulation on 16 simultaneous channels, which can be assigned to any 16 of the 32 available stimulation channels. Both designs use Intan Technologies' RHS and RHD series integrated circuits for amplification, filtering, digitization and stimulation, and are available on GitHub.<i>Main results.</i>The headstages were validated through benchtop impedance, noise, and frequency response measurements, as well as acute<i>in vivo</i>recordings in an anesthetized rat. Results demonstrate low noise levels and reliable signal acquisition across all channels.<i>Significance.</i>By releasing fully documented printed circuit board designs for headstages, this work aims to take a step towards broader adoption of bidirectional recording and stimulation systems while increasing channel counts. Future iterations will focus on miniaturization and wireless integration to improve usability in chronic and freely moving small animal experiments.

Journal of Neural EngineeringVol. 22(6)
Oregon Research Institute (US), University of Oregon (US), Open Society (CZ)
Openalex Percentile: Top 66%
Neuroscience and Neural Engineering
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Iris 128x: open-source 128 channel headstages for neural stimulation and recording — Rebecca A. Frederick, Manuel Monge, et al. · Journal of Neural Engineering (2025) | TGRS Research Map | TGRS