Abstract
This paper presents a wide-dynamic-range, DC-coupled, time-based neural-recording integrated circuit (IC), which is resilient against stimulation artifacts, for bidirectional neural interfaces. The proposed neural-recording IC based on delta-sigma modulation consists of an input Gm cell, current-controlled oscillator (CCO)-based integrator, phase quantizer, and tri-level current-steering DACs. The feedback current-steering DACs embedded in the current sources of the input Gm cell enable the recording IC to achieve a wide enough dynamic range to directly digitize the neural signals on top of stimulation artifacts while maintaining a moderately high input impedance. Moreover, the free-running frequency of the CCO-based integrator is set to be the optimum frequency of 0.49 times the sampling rate, thereby achieving high loop gain while utilizing inherent clocked averaging (CLA). Designed and post-layout simulated in a 65-nm process, the neural-recording IC achieves an SNDR of 76.3 dB over a signal bandwidth of 10 kHz while consuming low power of 5.04μ W with a sufficiently wide linear input range of 200 mVPP.
Original language | English (US) |
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Pages (from-to) | 94354-94366 |
Number of pages | 13 |
Journal | IEEE Access |
Volume | 12 |
DOIs | |
State | Published - 2024 |
Keywords
- Bidirectional neural interface
- closed-loop neuromodulation
- current-controlled oscillator (CCO)
- linear input range
- neural recording
- optimization
- time-based delta-sigma modulator (DSM)
- wide dynamic range
ASJC Scopus subject areas
- General Computer Science
- General Materials Science
- General Engineering