@inproceedings{Liu:2016:10.1109/ISCAS.2016.7527296,
author = {Liu, Y and Pereira, J and Constandinou, TG},
doi = {10.1109/ISCAS.2016.7527296},
pages = {538--541},
publisher = {IEEE},
title = {Clockless Continuous-Time Neural Spike Sorting: Method, Implementation and Evaluation},
url = {http://dx.doi.org/10.1109/ISCAS.2016.7527296},
year = {2016}
}

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TY  - CPAPER
AB  - In this paper, we present a new method for neuralspike sorting based on Continuous Time (CT) signal processing.A  set  of  CT  based  features  are  proposed  and  extracted  fromCT  sampled  pulses,  and  a  complete  event-driven  spike  sortingalgorithm  that  performs  classification  based  on  these  features  isdeveloped. Compared to conventional methods for spike sorting,the  hardware  implementation  of  the  proposed  method  does  notrequire  any  synchronisation  clock  for  logic  circuits,  and  thusits  power  consumption  depend  solely  on  the  spike  activity.  Thishas  been  implemented  using  a  variable  quantisation  step  CTanalogue  to  digital  converter  (ADC)  with  custom  digital  logicthat  is  driven  by  level  crossing  events.  Simulation  results  usingsynthetic  neural  data  shows  a  comparable  accuracy  comparedto  template  matching  (TM)  and  Principle  Components  Analysis(PCA) based discrete sampled classification.
AU  - Liu,Y
AU  - Pereira,J
AU  - Constandinou,TG
DO  - 10.1109/ISCAS.2016.7527296
EP  - 541
PB  - IEEE
PY  - 2016///
SP  - 538
TI  - Clockless Continuous-Time Neural Spike Sorting: Method, Implementation and Evaluation
UR  - http://dx.doi.org/10.1109/ISCAS.2016.7527296
UR  - http://hdl.handle.net/10044/1/30125
ER  - 

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