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IPM
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YEARS OLD

“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 11809
School of Cognitive Sciences
  Title:   Discrete-time automatic spike detection circuit for neural recording implants
  Author(s): 
1.  S. Barati
2.  A.M. Sodagar
  Status:   Published
  Journal: Electronics Letters
  Vol.:  47
  Year:  2011
  Pages:   306-307
  Supported by:  IPM
  Abstract:
A circuit for automatic detection of action potentials (spikes) in neural recording devices is presented. This circuit, designed to operate in discrete time, provides an analogue threshold level based on standard deviation of the analogue samples of the input neural signal. Functionality of the circuit was tested for normal prerecorded neural signals as the input. To examine whether the spike detection threshold level tracks low-frequency baseline variations (e.g. local field potentials), the input neural signal was superposed on both a step function and a low-frequency sine wave. Designed in a 0.18 um CMOS technology, according to simulations the circuit consumes 47 mW from a +0.9 V supply. A prototype version of the circuit was implemented and successfully tested.

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