A summary of the theory of velocity selective neural recording

John Taylor; Martin Schuettler; Christopher Clarke; Nick Donaldson

doi:10.1109/iembs.2011.6091151

A summary of the theory of velocity selective neural recording

John Taylor, Martin Schuettler, Christopher Clarke, Nick Donaldson

Department of Electronic & Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

8 Citations (SciVal)

245 Downloads (Pure)

Abstract

This paper describes improvements to the technique of velocity selective recording (VSR) in which multiple neural signals are matched and summed to identify excited axon populations in terms of velocity. This form of recording has been termed intrinsic velocity selective recording (IVSR). The signals are acquired using a multi-electrode cuff (MEC) which is now available as a component for use in implantable neuroprostheses. The improvements outlined in the paper involve the use of bandpass filters at the output of the system which allows a higher level of selectivity to be obtained than is possible using IVSR.

Original language	English
Pages	4649-4652
Number of pages	4
DOIs	https://doi.org/10.1109/iembs.2011.6091151
Publication status	Published - 2011
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, USA United States Duration: 30 Aug 2011 → 3 Sept 2011

Conference

Conference	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/Territory	USA United States
City	Boston, MA
Period	30/08/11 → 3/09/11

Access to Document

10.1109/iembs.2011.6091151

Taylor_EMBS_2011_4649.pdf
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 303 KB

Cite this

@conference{233ee37219c047ddbf3c6a6f9fe263c7,

title = "A summary of the theory of velocity selective neural recording",

abstract = "This paper describes improvements to the technique of velocity selective recording (VSR) in which multiple neural signals are matched and summed to identify excited axon populations in terms of velocity. This form of recording has been termed intrinsic velocity selective recording (IVSR). The signals are acquired using a multi-electrode cuff (MEC) which is now available as a component for use in implantable neuroprostheses. The improvements outlined in the paper involve the use of bandpass filters at the output of the system which allows a higher level of selectivity to be obtained than is possible using IVSR.",

author = "John Taylor and Martin Schuettler and Christopher Clarke and Nick Donaldson",

year = "2011",

doi = "10.1109/iembs.2011.6091151",

language = "English",

pages = "4649--4652",

note = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 ; Conference date: 30-08-2011 Through 03-09-2011",

}

TY - CONF

T1 - A summary of the theory of velocity selective neural recording

AU - Taylor, John

AU - Schuettler, Martin

AU - Clarke, Christopher

AU - Donaldson, Nick

PY - 2011

Y1 - 2011

N2 - This paper describes improvements to the technique of velocity selective recording (VSR) in which multiple neural signals are matched and summed to identify excited axon populations in terms of velocity. This form of recording has been termed intrinsic velocity selective recording (IVSR). The signals are acquired using a multi-electrode cuff (MEC) which is now available as a component for use in implantable neuroprostheses. The improvements outlined in the paper involve the use of bandpass filters at the output of the system which allows a higher level of selectivity to be obtained than is possible using IVSR.

AB - This paper describes improvements to the technique of velocity selective recording (VSR) in which multiple neural signals are matched and summed to identify excited axon populations in terms of velocity. This form of recording has been termed intrinsic velocity selective recording (IVSR). The signals are acquired using a multi-electrode cuff (MEC) which is now available as a component for use in implantable neuroprostheses. The improvements outlined in the paper involve the use of bandpass filters at the output of the system which allows a higher level of selectivity to be obtained than is possible using IVSR.

UR - http://dx.doi.org/10.1109/IEMBS.2011.6091151

U2 - 10.1109/iembs.2011.6091151

DO - 10.1109/iembs.2011.6091151

M3 - Paper

SP - 4649

EP - 4652

T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011

Y2 - 30 August 2011 through 3 September 2011

ER -

A summary of the theory of velocity selective neural recording

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this