| Literature DB >> 28502989 |
Marco Ballini1, Jan Müller2, Paolo Livi2, Yihui Chen2, Urs Frey3, Alexander Stettler2, Amir Shadmani2, Vijay Viswam2, Ian Lloyd Jones2, David Jäckel2, Milos Radivojevic2, Marta K Lewandowska2, Wei Gong2, Michele Fiscella2, Douglas J Bakkum2, Flavio Heer4, Andreas Hierlemann2.
Abstract
To advance our understanding of the functioning of neuronal ensembles, systems are needed to enable simultaneous recording from a large number of individual neurons at high spatiotemporal resolution and good signal-to-noise ratio. Moreover, stimulation capability is highly desirable for investigating, for example, plasticity and learning processes. Here, we present a microelectrode array (MEA) system on a single CMOS die for in vitro recording and stimulation. The system incorporates 26,400 platinum electrodes, fabricated by in-house post-processing, over a large sensing area (3.85 × 2.10 mm2) with sub-cellular spatial resolution (pitch of 17.5 μm). Owing to an area and power efficient implementation, we were able to integrate 1024 readout channels on chip to record extracellular signals from a user-specified selection of electrodes. These channels feature noise values of 2.4 μVrms in the action-potential band (300 Hz-10 kHz) and 5.4 μVrms in the local-field-potential band (1 Hz-300 Hz), and provide programmable gain (up to 78 dB) to accommodate various biological preparations. Amplified and filtered signals are digitized by 10 bit parallel single-slope ADCs at 20 kSamples/s. The system also includes 32 stimulation units, which can elicit neural spikes through either current or voltage pulses. The chip consumes only 75 mW in total, which obviates the need of active cooling even for sensitive cell cultures.Entities:
Keywords: Extracellular recording and stimulation; high channel count; low noise; low power; microelectrode array (MEA); multirate switched capacitor filter; neural interface; offset compensation; single-slope ADC; switch matrix
Year: 2014 PMID: 28502989 PMCID: PMC5424881 DOI: 10.1109/JSSC.2014.2359219
Source DB: PubMed Journal: IEEE J Solid-State Circuits ISSN: 0018-9200 Impact factor: 5.013