In vivo measurements with a 64-channel extracellular neural recording integrated circuit

Manuel Delgado-Restituto; Alberto Rodríguez-Pérez; Angela A. Darie; Ángel Rodríguez-Vázquez; Cristina Soto-Sánchez; Eduardo Fernández-Jover

doi:10.1109/ICECS.2014.7050028

In vivo measurements with a 64-channel extracellular neural recording integrated circuit

Manuel Delgado-Restituto, Alberto Rodríguez-Pérez, Angela A. Darie, Ángel Rodríguez-Vázquez, Cristina Soto-Sánchez, Eduardo Fernández-Jover

Publikation: Konferenzband/Beitrag in Buch/Bericht › Konferenzartikel › Begutachtung

Abstract

This paper presents in vivo measurements obtained from an implantable 64-channel neural recording Application Specific Integrated Circuit (ASIC) developed at IMSE and gives details of the computer interface used for real-time data acquisition. This interface connects the ASIC to a conventional 2.0 USB port by means of a Field Programmable Gate Array (FPGA). Communications are bidirectional and employ custom protocols both for delivering commands to the ASIC and for recording neural information under different channel selection and operation modes. The link is controlled by a user-friendly programming interface written in C++ which includes a built-in routine to efficiently index and store the captured data. Measurements demonstrate the suitability of the ASIC for capturing local field and action potentials with two different microelectrode array platforms.

Originalsprache	Englisch
Titel	2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Seiten	486-489
Seitenumfang	4
DOIs	https://doi.org/10.1109/ICECS.2014.7050028
Publikationsstatus	Veröffentlicht - 10 Dez. 2014
Extern publiziert	Ja
Veranstaltung	2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS) - Marseille, France Dauer: 7 Dez. 2014 → 10 Dez. 2014

Konferenz

Konferenz	2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Zeitraum	7/12/14 → 10/12/14

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10.1109/ICECS.2014.7050028

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7050028

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https://ieeexplore.ieee.org/document/7050028/

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Delgado-Restituto, M., Rodríguez-Pérez, A., Darie, A. A., Rodríguez-Vázquez, Á., Soto-Sánchez, C., & Fernández-Jover, E. (2014). In vivo measurements with a 64-channel extracellular neural recording integrated circuit. in 2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS) (S. 486-489). Artikel 7050028 https://doi.org/10.1109/ICECS.2014.7050028

@inproceedings{544853ca1fba4e7eb813b47d7f315e98,

title = "In vivo measurements with a 64-channel extracellular neural recording integrated circuit",

abstract = "This paper presents in vivo measurements obtained from an implantable 64-channel neural recording Application Specific Integrated Circuit (ASIC) developed at IMSE and gives details of the computer interface used for real-time data acquisition. This interface connects the ASIC to a conventional 2.0 USB port by means of a Field Programmable Gate Array (FPGA). Communications are bidirectional and employ custom protocols both for delivering commands to the ASIC and for recording neural information under different channel selection and operation modes. The link is controlled by a user-friendly programming interface written in C++ which includes a built-in routine to efficiently index and store the captured data. Measurements demonstrate the suitability of the ASIC for capturing local field and action potentials with two different microelectrode array platforms.",

keywords = "Application specific integrated circuits, Arrays, Universal Serial Bus, Field programmable gate arrays, In vivo, Clocks, Ports (Computers)",

author = "Manuel Delgado-Restituto and Alberto Rodr{\'i}guez-P{\'e}rez and Darie, {Angela A.} and {\'A}ngel Rodr{\'i}guez-V{\'a}zquez and Cristina Soto-S{\'a}nchez and Eduardo Fern{\'a}ndez-Jover",

year = "2014",

month = dec,

day = "10",

doi = "10.1109/ICECS.2014.7050028",

language = "English",

isbn = "978-1-4799-4242-8",

pages = "486--489",

booktitle = "2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)",

note = "2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS) ; Conference date: 07-12-2014 Through 10-12-2014",

}

Delgado-Restituto, M, Rodríguez-Pérez, A, Darie, AA, Rodríguez-Vázquez, Á, Soto-Sánchez, C & Fernández-Jover, E 2014, In vivo measurements with a 64-channel extracellular neural recording integrated circuit. in 2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)., 7050028, S. 486-489, 2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS), 7/12/14. https://doi.org/10.1109/ICECS.2014.7050028

In vivo measurements with a 64-channel extracellular neural recording integrated circuit. / Delgado-Restituto, Manuel; Rodríguez-Pérez, Alberto; Darie, Angela A. et al.
2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS). 2014. S. 486-489 7050028.

Publikation: Konferenzband/Beitrag in Buch/Bericht › Konferenzartikel › Begutachtung

TY - GEN

T1 - In vivo measurements with a 64-channel extracellular neural recording integrated circuit

AU - Delgado-Restituto, Manuel

AU - Rodríguez-Pérez, Alberto

AU - Darie, Angela A.

AU - Rodríguez-Vázquez, Ángel

AU - Soto-Sánchez, Cristina

AU - Fernández-Jover, Eduardo

PY - 2014/12/10

Y1 - 2014/12/10

N2 - This paper presents in vivo measurements obtained from an implantable 64-channel neural recording Application Specific Integrated Circuit (ASIC) developed at IMSE and gives details of the computer interface used for real-time data acquisition. This interface connects the ASIC to a conventional 2.0 USB port by means of a Field Programmable Gate Array (FPGA). Communications are bidirectional and employ custom protocols both for delivering commands to the ASIC and for recording neural information under different channel selection and operation modes. The link is controlled by a user-friendly programming interface written in C++ which includes a built-in routine to efficiently index and store the captured data. Measurements demonstrate the suitability of the ASIC for capturing local field and action potentials with two different microelectrode array platforms.

AB - This paper presents in vivo measurements obtained from an implantable 64-channel neural recording Application Specific Integrated Circuit (ASIC) developed at IMSE and gives details of the computer interface used for real-time data acquisition. This interface connects the ASIC to a conventional 2.0 USB port by means of a Field Programmable Gate Array (FPGA). Communications are bidirectional and employ custom protocols both for delivering commands to the ASIC and for recording neural information under different channel selection and operation modes. The link is controlled by a user-friendly programming interface written in C++ which includes a built-in routine to efficiently index and store the captured data. Measurements demonstrate the suitability of the ASIC for capturing local field and action potentials with two different microelectrode array platforms.

KW - Application specific integrated circuits

KW - Arrays

KW - Universal Serial Bus

KW - Field programmable gate arrays

KW - In vivo

KW - Clocks

KW - Ports (Computers)

UR - https://ieeexplore.ieee.org/document/7050028/

U2 - 10.1109/ICECS.2014.7050028

DO - 10.1109/ICECS.2014.7050028

M3 - Conference Paper

SN - 978-1-4799-4242-8

SP - 486

EP - 489

BT - 2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)

T2 - 2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)

Y2 - 7 December 2014 through 10 December 2014

ER -

In vivo measurements with a 64-channel extracellular neural recording integrated circuit

Abstract

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