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Analog frontend for multichannel neuronal recording system with spike and LFP separation
Yevgeny Perelman1, Ran Ginosar
1VLSI Systems Research Center, Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel. perelman@tx.technion.ac.il
Journal of Neuroscience Methods
|December 13, 2005
Summary
This study presents a novel integrated circuit for multi-channel neuronal recording. The device achieves high-fidelity signal separation and digital calibration for improved neural data acquisition.
Area of Science:
- Neuroscience
- Electrical Engineering
- Biomedical Engineering
Background:
- Accurate neuronal recording is crucial for understanding brain function.
- Existing systems often face challenges with signal fidelity and calibration.
Purpose of the Study:
- To develop a highly integrated circuit for multi-channel neuronal recording.
- To enable precise separation and amplification of local field potentials and spike data.
Main Methods:
- A 0.35microm CMOS integrated circuit with twelve true-differential channels was designed.
- Band separation, digitally programmable gains (up to 80 dB), and digital offset calibration were implemented.
- A second-order low-pass filter with programmable cutoff frequency was used for spike band limiting.
Main Results:
- The integrated circuit successfully separated neuronal signals into local field potential and spike data.
- Measured input-referred noise on the spike data band was as low as 3microV.
- Digitally programmable gains and DC offset compensation were verified.
Conclusions:
- The fabricated integrated circuit meets the requirements for advanced multi-channel neuronal recording.
- This technology offers improved signal quality and flexibility for neural interfaces.
- The device facilitates precise analysis of both slow and fast neural activities.