Literature DB >> 14709394

A low noise multichannel integrated circuit for recording neuronal signals using microelectrode arrays.

W Dabrowski1, P Grybos, A M Litke.   

Abstract

This paper reports on the development of a fully integrated 32-channel integrated circuit (IC) for recording neuronal signals in neurophysiological experiments using microelectrode arrays. The IC consists of 32 channels of low-noise preamplifiers and bandpass filters, and an output analog multiplexer. The continuous-time RC active filters have a typical passband of 20-2000 Hz; the low and the high cut-off frequencies can be separately controlled by external reference currents. This chip provides a satisfactory signal-to-noise ratio for neuronal signals with amplitudes greater than 50 microV. For the nominal passband setting, an equivalent input noise of 3 microV rms has been achieved. A single channel occupies 0.35 mm(2) of silicon area and dissipates 1.7 mW of power. The chip was fabricated in a 0.7 microm CMOS process.

Mesh:

Year:  2004        PMID: 14709394     DOI: 10.1016/j.bios.2003.08.005

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  8 in total

1.  A wireless multi-channel neural amplifier for freely moving animals.

Authors:  Tobi A Szuts; Vitaliy Fadeyev; Sergei Kachiguine; Alexander Sher; Matthew V Grivich; Margarida Agrochão; Pawel Hottowy; Wladyslaw Dabrowski; Evgueniy V Lubenov; Athanassios G Siapas; Naoshige Uchida; Alan M Litke; Markus Meister
Journal:  Nat Neurosci       Date:  2011-01-16       Impact factor: 24.884

2.  Gap Junctions Contribute to Differential Light Adaptation across Direction-Selective Retinal Ganglion Cells.

Authors:  Xiaoyang Yao; Jon Cafaro; Amanda J McLaughlin; Friso R Postma; David L Paul; Gautam Awatramani; Greg D Field
Journal:  Neuron       Date:  2018-09-13       Impact factor: 17.173

3.  Analysis and Reduction of Nonlinear Distortion in AC-Coupled CMOS Neural Amplifiers with Tunable Cutoff Frequencies.

Authors:  Beata Trzpil-Jurgielewicz; Władysław Dąbrowski; Paweł Hottowy
Journal:  Sensors (Basel)       Date:  2021-04-30       Impact factor: 3.576

Review 4.  Commercialisation of CMOS integrated circuit technology in multi-electrode arrays for neuroscience and cell-based biosensors.

Authors:  Anthony H D Graham; Jon Robbins; Chris R Bowen; John Taylor
Journal:  Sensors (Basel)       Date:  2011-05-04       Impact factor: 3.576

5.  A low-noise, modular, and versatile analog front-end intended for processing in vitro neuronal signals detected by microelectrode arrays.

Authors:  Giulia Regalia; Emilia Biffi; Giancarlo Ferrigno; Alessandra Pedrocchi
Journal:  Comput Intell Neurosci       Date:  2015-04-21

6.  A CMOS IC-based multisite measuring system for stimulation and recording in neural preparations in vitro.

Authors:  Takashi Tateno; Jun Nishikawa
Journal:  Front Neuroeng       Date:  2014-10-10

7.  Mapping nonlinear receptive field structure in primate retina at single cone resolution.

Authors:  Jeremy Freeman; Greg D Field; Peter H Li; Martin Greschner; Deborah E Gunning; Keith Mathieson; Alexander Sher; Alan M Litke; Liam Paninski; Eero P Simoncelli; E J Chichilnisky
Journal:  Elife       Date:  2015-10-30       Impact factor: 8.140

8.  Inter-mosaic coordination of retinal receptive fields.

Authors:  Suva Roy; Na Young Jun; Emily L Davis; John Pearson; Greg D Field
Journal:  Nature       Date:  2021-03-10       Impact factor: 49.962

  8 in total

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