A Miniaturized 256-Channel Neural Recording Interface With Area-Efficient Hybrid Integration of Flexible Probes and CMOS Integrated Circuits

Park, Sung-Yun; Na, Kyounghwan; Vöröslakos, Mihály; Song, Hyunsoo; Slager, Nathan; Oh, Seung June; Seymour, John P.; Buzsáki, György; Yoon, Euisik

doi:10.1109/tbme.2021.3093542

Cited by 24 publications

(31 citation statements)

References 52 publications

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“…The key innovations of this work lie in the pixel circuit design (an LNA + a buffer), which improves noise power performance with the given area of 75 μm 2 . The previous work in [22,23] also accomplished the same size pixel; however, it showed a relatively high IRN of ~6.3 μVrms due to the limited space while consuming a relatively large power consumption (~8.9 μW). In this work, we realized a smaller IRN and power consumption of the same size thanks to the area-aware design techniques and the adoption of an operational transconductance amplifier (OTA) with a local positive feedback.…”

Section: Area-aware Design In Low Noise Amplifiermentioning

confidence: 98%

“…A high-density 256-channel neural recording system (left) where a 256-channel analog frontend circuit and flexible polyimide neural probe are hybrid-combined using anisotropic conductive film (ACF) [23]. A system where a commercial head-stage (RHD 2132, Intan Technology LLC, Los Angeles, CA, United States) and a 64-channel probe are assembled with two RHD 2132 chips is also shown for comparison.…”

Section: Figurementioning

confidence: 99%

“…A system where a commercial head-stage (RHD 2132, Intan Technology LLC, Los Angeles, CA, United States) and a 64-channel probe are assembled with two RHD 2132 chips is also shown for comparison. A high-density 256-channel neural recording system (left) where a 256-channel analog frontend circuit and flexible polyimide neural probe are hybrid-combined using anisotropic conductive film (ACF) [23]. A system where a commercial head-stage (RHD 2132, Intan Technology LLC, Los Angeles, CA, USA) and a 64-channel probe are assembled with two RHD 2132 chips is also shown for comparison.…”

Section: Figurementioning

confidence: 99%

“…All voltage and current references are internally generated. To save area, the pixel is implemented with single-ended input and output, resulting in half-size passives of the conventional AC-coupled structures [22,23]. The multiple input signals are coupled into the single-ended input and output LNAs, which does not have any common mode (CM) rejection, but this is compensated by the replica reference where the exact same LNA accepts the reference signal, as shown in Figure 2 (left).…”

Section: Integrated Circuit Architecturementioning

confidence: 99%

“…This work has been motivated by observing the performance of our prior works [22,23], as shown in the left of Figure 1, where a 256-channel CMOS frontend circuit (16 × 16-channel module) and the same channel flexible polyimide neural probe are combined to realize an ultrahigh-density 256-channel broadband neural recording system by using a hybrid interconnection with the anisotropic conductive film (ACF). In [22,23], to be flipchip bonded with a flexible neural probe, a low noise amplifier pixel (+buffer) was buried under the area pad with a tiny pitch of 75 μm, eliminating input pads in the chip perimeter. Though successful, the essential circuit performance, such as IRN and power consumption were compromised due to the restricted area.…”

Section: Introductionmentioning

confidence: 99%

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An Area- and Energy-Efficient 16-Channel, AC-Coupled Neural Recording Analog Frontend for High-Density Multichannel Neural Recordings

et al. 2021

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We present an AC-coupled modular 16-channel analog frontend with 1.774 fJ/c-s∙mm2 energy- and area-product for a multichannel recording of broadband neural signals including local field potentials (LFPs) and extracellular action potentials (EAPs). To achieve such a small area- and energy-product, we employed an operational transconductance amplifier (OTA) with local positive feedback, instead of a widely-used folded cascode OTA (FC-OTA) or current mirror OTA for conventional neural recordings, while optimizing the design parameters affecting performance, power, and area trade-offs. In addition, a second pole was strategically introduced in the LNA to reduce the noise bandwidth without an in-channel low-pass filter. Compared to conventional works, the presented method shows better performance in terms of noise, power, and area usages. The performance of the fabricated 16-channel analog frontend is fully characterized in a benchtop and an in vitro setup. The 16-channel frontend embraces LFPs and EAPs with 4.27 μVrms input referred noise (0.5–10 kHz) and 53.17 dB dynamic range, consuming 3.44 μW and 0.012 mm2 per channel. The channel figure of merit (FoM) of the prototype is 147.87 fJ/c-s and the energy-area FoM (E-A FoM) is 1.774 fJ/c-s∙mm2.

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Section: Area-aware Design In Low Noise Amplifiermentioning

confidence: 98%

Section: Figurementioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Integrated Circuit Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Area- and Energy-Efficient 16-Channel, AC-Coupled Neural Recording Analog Frontend for High-Density Multichannel Neural Recordings

et al. 2021

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High‐density implantable neural electrodes and chips for massive neural recordings

Wang,

Suo,

Wang

et al. 2024

Brain-X

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High‐density neural recordings with superior spatiotemporal resolution powerfully unveil cellular‐scale neural communication, showing great promise in neural science, translational medicine, and clinical applications. To achieve such, many design and fabrication innovations enhanced the electrode, chip, or both for biocompatibility improvement, electrical performance upgrade, and size miniaturization, offering several thousands of recording sites. However, an enormous gap exists along the trajectory toward billions of recording sites for brain scale resolution, posing many more design challenges. This review tries to find possible insight into mitigating the gap by discussing the latest progress in high‐density electrodes and chips for neural recordings. It emphasizes the design, fabrication, bonding techniques, and in vivo performance optimization of high‐density electrodes. It discusses the promising opportunities for circuit‐level and architecture‐level multi‐channel chip design innovations. We expect that joint effort and close collaboration between high‐density electrodes and chips will pave the way to high‐resolution neural recording tools supporting cutting‐edge neuroscience discoveries and applications.

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Recent advances in wireless epicortical and intracortical neuronal recording systems

Liang

Yuan

et al. 2022

Sci. China Inf. Sci.

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A Miniaturized 256-Channel Neural Recording Interface With Area-Efficient Hybrid Integration of Flexible Probes and CMOS Integrated Circuits

Cited by 24 publications

References 52 publications

An Area- and Energy-Efficient 16-Channel, AC-Coupled Neural Recording Analog Frontend for High-Density Multichannel Neural Recordings

An Area- and Energy-Efficient 16-Channel, AC-Coupled Neural Recording Analog Frontend for High-Density Multichannel Neural Recordings

High‐density implantable neural electrodes and chips for massive neural recordings

Recent advances in wireless epicortical and intracortical neuronal recording systems

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