Time multiplexed active neural probe with 1356 parallel recording sites

Raducanu, B. C. et al. (2017) Time multiplexed active neural probe with 1356 parallel recording sites. Sensors, 17(10), 2388. (doi: 10.3390/s17102388) (PMID:29048396) (PMCID:PMC5677417)

Abstract

We present a high electrode density and high channel count CMOS (complementary metal-oxide-semiconductor) active neural probe containing 1344 neuron sized recording pixels (20 µm × 20 µm) and 12 reference pixels (20 µm × 80 µm), densely packed on a 50 µm thick, 100 µm wide, and 8 mm long shank. The active electrodes or pixels consist of dedicated in-situ circuits for signal source amplification, which are directly located under each electrode. The probe supports the simultaneous recording of all 1356 electrodes with sufficient signal to noise ratio for typical neuroscience applications. For enhanced performance, further noise reduction can be achieved while using half of the electrodes (678). Both of these numbers considerably surpass the state-of-the art active neural probes in both electrode count and number of recording channels. The measured input referred noise in the action potential band is 12.4 µVrms, while using 678 electrodes, with just 3 µW power dissipation per pixel and 45 µW per read-out channel (including data transmission).

• Item Type: Articles
• Additional Information: Financial support for this research was provided by the European Union’s 7th Framework Programme (FP7/2007-2013) under grant agreement n◦600925, NeuroSeeker and from Hungarian Brain Research Program Grants (Grant Nos. KTIA_13_NAP-A-I/1 and KTIA-13-NAP-A-IV/1-4,6). Funding from the project was used for open access publishing. F. Kloosterman was supported by Research Project FWO G0D7516N.
• Keywords: CMOS, active electrode, active neural probes, high density component, neural amplifier, neural array, neural recording.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Mitra, Dr Srinjoy
• Authors: Raducanu, B. C., Yazicioglu, R. F., Lopez, C. M., Ballini, M., Putzeys, J., Wang, S., Andrei, A., Rochus, V., Welkenhuysen, M., van Helleputte, N., Musa, S., Puers, R., Kloosterman, F., van Hoof, C., Fiáth, R., Ulbert, I., and Mitra, S.
• College/School: College of Science and Engineering > School of Engineering
• Journal Name: Sensors
• Publisher: MDPI
• ISSN: 1424-8220
• ISSN (Online): 1424-8220
• Published Online: 19 October 2017
• Copyright Holders: Copyright © 2017 The Authors
• First Published: First published in Sensors 17(10): 2388
• Publisher Policy: Reproduced under a Creative Commons License