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A Low Noise Amplifier for Neural Spike Recording Interfaces.

Jesus Ruiz-Amaya1, Alberto Rodriguez-Perez2, Manuel Delgado-Restituto3

  • 1Institute of Microelectronics of Seville, Avda. Americo Vespucio s/n, Sevilla 41092, Spain. ruiz@imse-cnm.csic.es.

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Summary
This summary is machine-generated.

This study introduces a novel Low Noise Amplifier (LNA) for neural recording, optimizing power, area, and noise. The developed LNA achieves a low noise efficiency factor, demonstrating effective neural spike detection in vivo.

Keywords:
Low-Noise Amplifierbiomedical circuitcircuit sizingneural spike recording

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Area of Science:

  • Electronics
  • Biomedical Engineering
  • Signal Processing

Background:

  • Neural spike recording requires amplifiers with minimal noise and power consumption.
  • Existing Low Noise Amplifiers (LNAs) often face trade-offs between power, area, and noise performance.
  • Minimizing the noise efficiency factor is crucial for efficient neural signal acquisition.

Purpose of the Study:

  • To present a novel Low Noise Amplifier (LNA) topology for neural spike recording applications.
  • To introduce a transistor-level synthesis methodology for LNAs that minimizes the noise efficiency factor.
  • To address the triple trade-off between power, area, and noise in LNA design.

Main Methods:

  • A two-stage operational transconductance amplifier (OTA) with a capacitive feedback network was designed.
  • A novel transistor-level synthesis methodology was developed for LNA noise efficiency factor minimization.
  • The LNA was implemented using 130 nm CMOS technology, occupying 0.053 mm-sq.

Main Results:

  • The proposed LNA achieved a noise efficiency factor of 2.16.
  • Input-referred noise was measured at 3.8 μVrms with a 1.2 V power supply.
  • The LNA provided a gain of 46 dB over a 192 Hz-7.4 kHz bandwidth, consuming only 1.92 μW.

Conclusions:

  • The developed LNA effectively balances power, area, and noise for neural recording.
  • The novel synthesis methodology enables efficient LNA design under area and noise constraints.
  • Experimental validation in animal models confirms the LNA's suitability for in vivo neural spike detection.