Medical & Biological Engineering & Computing

, Volume 50, Issue 3, pp 309–318 | Cite as

The theory of velocity selective neural recording: a study based on simulation

  • John TaylorEmail author
  • Martin Schuettler
  • Chris Clarke
  • Nick Donaldson
Original Article


This paper describes the improvements to the theory of velocity selective recording and some simulation results. In this method, activity in different groups of axons is discriminated by their propagation velocity. A multi-electrode cuff and an array of amplifiers produce multiple neural signals; if artificial delays are inserted and the signals are added, the activity in axons of the matched velocity are emphasized. We call this intrinsic velocity selective recording. However, simulation shows that interpreting the time signals is then not straight-forward and the selectivity Q v is low. New theory shows that bandpass filters improve the selectivity and explains why this is true in the time domain. A simulation study investigates the limits on the available velocity selectivity both with and without additive noise and with reasonable sampling rates and analogue-to-digital conversion parameters. Bandpass filters can improve the selectivity by factors up to 7 but this depends on the speed of the action potential and the signal-to-noise ratio.


Electroneurogram recording Simulation Multi-electrode cuffs Velocity selective recording 



Bandpass filter


Fast Fourier transform


Analogue to digital converter


Signal to noise ratio


Velocity selective recording


Single fibre action potential


Trans-membrane action potential


Compound action potential


Multi-electrode cuff


Intrinsic velocity selectivity


Bandpass filtered velocity selectivity


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Copyright information

© International Federation for Medical and Biological Engineering 2012

Authors and Affiliations

  • John Taylor
    • 1
    Email author
  • Martin Schuettler
    • 2
  • Chris Clarke
    • 1
  • Nick Donaldson
    • 3
  1. 1.Department of Electronic and Electrical EngineeringUniversity of BathBathUK
  2. 2.Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering, IMTEKUniversity of FreiburgFreiburgGermany
  3. 3.Department of Medical Physics and BioengineeringUniversity College LondonLondonUK

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