Journal ArticleDOI
An implantable 455-active-electrode 52-channel CMOS neural probe
Carolina Mora Lopez,Alexandru Andrei,Srinjoy Mitra,Marleen Welkenhuysen,Wolfgang Eberle,Carmen Bartic,Robert Puers,Refet Firat Yazicioglu,Georges Gielen +8 more
- Vol. 49, Iss: 1, pp 248-261
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TLDR
The main tradeoff in neural probe design is between minimizing the probe dimensions and achieving high spatial resolution using large arrays of small recording sites.Abstract:
Neural probes have become the most important tool for enabling neuroscientists to place microelectrode sensors close to individual neurons and to monitor their activity in vivo. With such devices, it is possible to perform acute or chronic extracellular recordings of electrical activity from a single neuron or from groups of neurons. After the many developments in neural implants, it has become clear that large arrays of electrodes are desirable to further investigate the activity performed by complex neural networks. Therefore, in this paper, we propose a CMOS neural probe containing 455 active electrodes in the probe shank (100 μm wide, 10 mm long, and 50 μm thick) and 52 simultaneous readout channels in the probe body (2.9 × 3.3 mm2). In situ amplification under each electrode enables low-impedance interconnection lines, regardless of the electrode impedance, with a residual crosstalk of -44.8 dB. This design has been implemented in a 0.18-μm standard CMOS technology, with additional CMOS-compatible post-processing performed at wafer level to define the electrodes and the probe outline. In this architecture, the analog front-end achieves an input-referred noise of 3.2 μVrms and an NEF of 3.08. The power consumption of the core circuit is 949.8 μW, while the total power consumption is 1.45 mW. The high-density active-electrode array in this neural probe allows for the massive recording of neural activity. In vivo measurements demonstrate successful simultaneous recordings from many individual cells.read more
Citations
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Journal ArticleDOI
Revealing neuronal function through microelectrode array recordings
Marie Engelene J. Obien,Kosmas Deligkaris,Kosmas Deligkaris,Torsten Bullmann,Douglas J. Bakkum,Urs Frey,Urs Frey,Urs Frey +7 more
TL;DR: The ongoing advancements in microelectrode technology are introduced, with focus on achieving higher resolution and quality of recordings by means of monolithic integration with on-chip circuitry.
Journal ArticleDOI
Materials for flexible bioelectronic systems as chronic neural interfaces.
TL;DR: This Review provides an overview of the advances in materials and device design that are enabling the realization of implantable electronic interfaces for long-term, multiplexed recording and stimulation of the brain and nervous system.
Journal ArticleDOI
High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels
Jan Müller,Marco Ballini,Paolo Livi,Yihui Chen,Milos Radivojevic,Amir Shadmani,Vijay Viswam,Ian L. Jones,Michele Fiscella,Roland Diggelmann,Alexander Stettler,Urs Frey,Douglas J. Bakkum,Andreas Hierlemann +13 more
TL;DR: A CMOS-based device, capable of simultaneously recording the electrical activity of over a thousand cells in in vitro neuronal networks, and is demonstrated for large-scale recordings from whole networks of neurons as well as investigations of axonal properties of individual neurons.
Journal ArticleDOI
Close-Packed Silicon Microelectrodes for Scalable Spatially Oversampled Neural Recording
Jorg Scholvin,Justin P. Kinney,Jacob Bernstein,Caroline Moore-Kochlacs,Nancy Kopell,Clifton G. Fonstad,Edward S. Boyden +6 more
TL;DR: The design and implementation of close-packed silicon microelectrodes to enable spatially oversampled recording of neural activity in a scalable fashion are presented and performed in the live mammalian brain to illustrate the spatial oversampling potential of closely packed electrode sites.
Journal ArticleDOI
State-of-the-art MEMS and microsystem tools for brain research
TL;DR: The state-of-the-art in recording and stimulation tools for brain research is reviewed, and some of the most significant technology trends shaping the field of neurotechnology are discussed.
References
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