Literature DB >> 23852975

A multichannel integrated circuit for electrical recording of neural activity, with independent channel programmability.

Carolina Mora Lopez1, Dimiter Prodanov, Dries Braeken, Ivan Gligorijevic, Wolfgang Eberle, Carmen Bartic, Robert Puers, Georges Gielen.   

Abstract

Since a few decades, micro-fabricated neural probes are being used, together with microelectronic interfaces, to get more insight in the activity of neuronal networks. The need for higher temporal and spatial recording resolutions imposes new challenges on the design of integrated neural interfaces with respect to power consumption, data handling and versatility. In this paper, we present an integrated acquisition system for in vitro and in vivo recording of neural activity. The ASIC consists of 16 low-noise, fully-differential input channels with independent programmability of its amplification (from 100 to 6000 V/V) and filtering (1-6000 Hz range) capabilities. Each channel is AC-coupled and implements a fourth-order band-pass filter in order to steeply attenuate out-of-band noise and DC input offsets. The system achieves an input-referred noise density of 37 nV/√Hz, a NEF of 5.1, a CMRR > 60 dB, a THD < 1% and a sampling rate of 30 kS/s per channel, while consuming a maximum of 70 μA per channel from a single 3.3 V. The ASIC was implemented in a 0.35 μm CMOS technology and has a total area of 5.6 × 4.5 mm². The recording system was successfully validated in in vitro and in vivo experiments, achieving simultaneous multichannel recordings of cell activity with satisfactory signal-to-noise ratios.

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Year:  2012        PMID: 23852975     DOI: 10.1109/TBCAS.2011.2181842

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  4 in total

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Authors:  Joaquin Navajas; Deren Y Barsakcioglu; Amir Eftekhar; Andrew Jackson; Timothy G Constandinou; Rodrigo Quian Quiroga
Journal:  J Neurosci Methods       Date:  2014-04-24       Impact factor: 2.390

2.  A real-time spike classification method based on dynamic time warping for extracellular enteric neural recording with large waveform variability.

Authors:  Yingqiu Cao; Nikolai Rakhilin; Philip H Gordon; Xiling Shen; Edwin C Kan
Journal:  J Neurosci Methods       Date:  2015-12-21       Impact factor: 2.390

3.  In vivo characterization of the electrophysiological and astrocytic responses to a silicon neuroprobe implanted in the mouse neocortex.

Authors:  Katrien Mols; Silke Musa; Bart Nuttin; Liesbet Lagae; Vincent Bonin
Journal:  Sci Rep       Date:  2017-11-15       Impact factor: 4.379

4.  A High Performance Delta-Sigma Modulator for Neurosensing.

Authors:  Jian Xu; Menglian Zhao; Xiaobo Wu; Md Kafiul Islam; Zhi Yang
Journal:  Sensors (Basel)       Date:  2015-08-07       Impact factor: 3.576

  4 in total

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