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Active C4 Electrodes for Local Field Potential Recording Applications

Extracellular neural recording, with multi-electrode arrays (MEAs), is a powerful method used to study neural function at the network level. However, in a high density array, it can be costly and time consuming to integrate the active circuit with the expensive electrodes. In this paper, we present...

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Detalles Bibliográficos
Autores principales: Wang, Lu, Freedman, David, Sahin, Mesut, Ünlü, M. Selim, Knepper, Ronald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801575/
https://www.ncbi.nlm.nih.gov/pubmed/26861324
http://dx.doi.org/10.3390/s16020198
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author Wang, Lu
Freedman, David
Sahin, Mesut
Ünlü, M. Selim
Knepper, Ronald
author_facet Wang, Lu
Freedman, David
Sahin, Mesut
Ünlü, M. Selim
Knepper, Ronald
author_sort Wang, Lu
collection PubMed
description Extracellular neural recording, with multi-electrode arrays (MEAs), is a powerful method used to study neural function at the network level. However, in a high density array, it can be costly and time consuming to integrate the active circuit with the expensive electrodes. In this paper, we present a 4 mm × 4 mm neural recording integrated circuit (IC) chip, utilizing IBM C4 bumps as recording electrodes, which enable a seamless active chip and electrode integration. The IC chip was designed and fabricated in a 0.13 μm BiCMOS process for both in vitro and in vivo applications. It has an input-referred noise of 4.6 μV [Formula: see text] for the bandwidth of 10 Hz to 10 kHz and a power dissipation of 11.25 mW at 2.5 V, or 43.9 μW per input channel. This prototype is scalable for implementing larger number and higher density electrode arrays. To validate the functionality of the chip, electrical testing results and acute in vivo recordings from a rat barrel cortex are presented.
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spelling pubmed-48015752016-03-25 Active C4 Electrodes for Local Field Potential Recording Applications Wang, Lu Freedman, David Sahin, Mesut Ünlü, M. Selim Knepper, Ronald Sensors (Basel) Article Extracellular neural recording, with multi-electrode arrays (MEAs), is a powerful method used to study neural function at the network level. However, in a high density array, it can be costly and time consuming to integrate the active circuit with the expensive electrodes. In this paper, we present a 4 mm × 4 mm neural recording integrated circuit (IC) chip, utilizing IBM C4 bumps as recording electrodes, which enable a seamless active chip and electrode integration. The IC chip was designed and fabricated in a 0.13 μm BiCMOS process for both in vitro and in vivo applications. It has an input-referred noise of 4.6 μV [Formula: see text] for the bandwidth of 10 Hz to 10 kHz and a power dissipation of 11.25 mW at 2.5 V, or 43.9 μW per input channel. This prototype is scalable for implementing larger number and higher density electrode arrays. To validate the functionality of the chip, electrical testing results and acute in vivo recordings from a rat barrel cortex are presented. MDPI 2016-02-04 /pmc/articles/PMC4801575/ /pubmed/26861324 http://dx.doi.org/10.3390/s16020198 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Lu
Freedman, David
Sahin, Mesut
Ünlü, M. Selim
Knepper, Ronald
Active C4 Electrodes for Local Field Potential Recording Applications
title Active C4 Electrodes for Local Field Potential Recording Applications
title_full Active C4 Electrodes for Local Field Potential Recording Applications
title_fullStr Active C4 Electrodes for Local Field Potential Recording Applications
title_full_unstemmed Active C4 Electrodes for Local Field Potential Recording Applications
title_short Active C4 Electrodes for Local Field Potential Recording Applications
title_sort active c4 electrodes for local field potential recording applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801575/
https://www.ncbi.nlm.nih.gov/pubmed/26861324
http://dx.doi.org/10.3390/s16020198
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