A Compact Quad-Shank CMOS Neural Probe With 5,120 Addressable Recording Sites and 384 Fully Differential Parallel Channels

Wang, Shiwei; López, Carolina Mora; Garakoui, Seyed Kasra; Huang, Chun; Salinas, Dídac Gómez; Sijbers, Wim; Putzeys, Jan; Martens, Ewout; Craninckx, Jan; Helleputte, Nick Van

doi:10.1109/tbcas.2019.2942450

Cited by 56 publications

(57 citation statements)

References 41 publications

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“…A forthcoming "beta" version is planned with broadly similar specifications, but notably with an improved ADC design expected to reduce noise levels. Both the probe electronics (Wang et al, 2019) and the data acquisition system (Putzeys et al, 2019) have been described previously, but aspects of those reports are summarized here for clarity.…”

Section: Neuropixels 20 Device Designmentioning

confidence: 99%

Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings

Steinmetz

Aydın

Лебедева

et al. 2020

Preprint

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To study the dynamics of neural processing across timescales, we require the ability to follow the spiking of thousands of individually separable neurons over weeks and months, during unrestrained behavior. To address this need, we introduce the Neuropixels 2.0 probe together with novel analysis algorithms. The new probe has over 5,000 sites and is miniaturized such that two probes plus a headstage, recording 768 sites at once, weigh just over 1 g, suitable for implanting chronically in small mammals. Recordings with high quality signals persisting for at least two months were reliably obtained in two species and six different labs. Improved site density and arrangement combined with new data processing methods enable automatic post-hoc stabilization of data despite brain movements during behavior and across days, allowing recording from the same neurons in the mouse visual cortex for over 2 months. Additionally, an optional configuration allows for recording from multiple sites per available channel, with a penalty to signal-to-noise ratio. These probes and algorithms enable stable recordings from >10,000 sites during free behavior in small animals such as mice.

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Section: Neuropixels 20 Device Designmentioning

confidence: 99%

Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings

Steinmetz

Aydın

Лебедева

et al. 2020

Preprint

Self Cite

139

204

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“…After that, we calculated the ratio of amplitude values in the four amplitude ranges (supplementary figure 15(b) and (c)). For recordings from both brain structures, the results showed that the site group located in the lower middle of the shank (second group of 32-channels, calculated from the bottom) provided the best recording performance, in all amplitude ranges (supplementary figure 15(b) and (c); supplementary tables [15][16]. However, the results might be slightly biased in the case of cortical recordings, since the intensity of spiking activity significantly varies across cortical layers in ketamine/xylazine anesthetized rats (supplementary figure 15(d); [57]).…”

Section: Resultsmentioning

confidence: 99%

“…This might hinder the precise registration of the action potential firing times of single cells, especially if the activity of many neurons is measured simultaneously. In contrast, recently developed high-density silicon-based multielectrode arrays [3][4][5][6][14][15][16][17][18][19] can monitor the activity of hundreds of neurons at the same time with sub-millisecond precision and, because of the large number of closely packed recording sites, also with a high spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

Recording site placement on planar silicon-based probes affects neural signal quality: edge sites enhance acute recording performance

Fiáth

Meszéna

Boda

et al. 2020

Preprint

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Objective. Multisite, silicon-based probes are widely used tools to record the electrical activity of neuronal populations. Several physical features of these devices (e.g. shank thickness, tip geometry) are designed to improve their recording performance. Here, our goal was to investigate whether the position of recording sites on the silicon shank might affect the quality of the recorded neural signal in acute experiments.Approach. Neural recordings obtained with five different types of high-density, single-shank, planar silicon probes from anesthetized rats were analyzed. Wideband data were filtered (500 -5000 Hz) to extract spiking activity, then various quantitative properties (e.g. amplitude distribution of the filtered potential, single unit yield) of the recorded cortical and thalamic activity were compared between sites located at different positions of the silicon shank, focusing particularly on edge and center sites.Main results. Edge sites outperformed center sites: mean values of the examined properties of the spiking activity were in most cases higher for edge sites (~94%, 33/35) and a large fraction of these differences were also statistically significant (~45%, 15/33) with effect sizes ranging from small to large. Although the single unit yield was similar between site positions, the difference in signal quality was remarkable in the range corresponding to high-amplitude spikes. Furthermore, the advantage of edge sites slightly decreased for probes having a narrower shank.Significance. The better signal quality on edge sites might be the result of the reduced shielding effect of the silicon shank providing a larger field of view for edge sites to detect spikes, or the less tissue damage caused near the edges of the shank. Our results might aid the design of novel neural implants in enhancing their recording performance by identifying more efficient recording site placements.3

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“…Although numerous neural recording headstages have been already developed and optimized for their specific application domain (e.g., for very large scale arrays [12][13][14][15] , or for intracranial recordings 38,[52][53][54][55][56][57], to our knowledge, this is the first instance of a headstage design that has the capability of adapting to numerous use cases requiring different gain factors and band selections, on the same input channel.…”

Section: Discussionmentioning

confidence: 99%

An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG

Sharifhazileh

Burelo

Sarnthein³

et al. 2020

Preprint

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The analysis of biomedical signals for clinical studies and therapeutic applications can benefit from compact and portable devices that can process these signals locally, in real-time, without the need for off-line processing. An example is the recording of intracranial EEG(iEEG) during epilepsy surgery with the detection of High Frequency Oscillations (HFOs, 80-500 Hz), which are a biomarker for the epileptogenic zone. Conventional approaches of HFO detection involve the offline analysis of prerecorded data, often on bulky computers. However, clinical applications during surgery or in long-term intracranial recordings demand a self-sufficient embedded device that is battery-powered to avoid interfering with other electronic equipment in the operation room. Mixed-signal and analog-digital neuromorphic circuits offer the possibility of building compact, embedded, and low-power neural network processing systems that can analyze data on-line and produce results with short latency in real-time. These characteristics are well suited for clinical applications that involve the processing of biomedical signals at (or very close to) the sensor level. In this work, we present a neuromorphic system that combines for the first time a neural recording headstage with a signal-to-spike conversion circuit and a multi-core spiking neural network (SNN) architecture on the same die for recording, processing, and detecting clinically relevant HFOs in iEEG from epilepsy patients. The device was fabricated using a standard 0.18μm CMOS technology node and has a total area of 99 mm2. We demonstrate its application to HFO detection in the iEEG recorded from 9 patients with temporal lobe epilepsy who subsequently underwent epilepsy surgery. The total average power consumption of the chip during the detection task was 614.3 μW. We show how the neuromorphic system can reliably detect HFOs: the system predicts postsurgical seizure outcome with state-of-the-art accuracy, specificity, and sensitivity (78%, 100%, and 33% respectively). This is the first feasibility study towards identifying relevant features in intracranial human data in real-time, on-chip, using event-based processors and spiking neural networks. By providing “neuromorphic intelligence” to neural recording circuits the approach proposed will pave the way for the development of systems that can detect HFO areas directly in the operation room and improve the seizure outcome of epilepsy surgery.

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A Compact Quad-Shank CMOS Neural Probe With 5,120 Addressable Recording Sites and 384 Fully Differential Parallel Channels

Cited by 56 publications

References 41 publications

Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings

Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings

Recording site placement on planar silicon-based probes affects neural signal quality: edge sites enhance acute recording performance

An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG

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