期刊
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
卷 12, 期 3, 页码 576-588出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBCAS.2018.2818818
关键词
Channelrhodopsin; implantable; neural interface; neural recording; optoelectrode; optogenetics; optrode
资金
- Wellcome Trust [102037/Z/13/Z]
- Engineering and Physical Sciences Research Council (EPSRC) [NS/A000026/1]
- school of Electrical & Electronic Engineering at Newcastle University
- CSC
- GBCET
- Wellcome Trust [102037/Z/13/Z] Funding Source: Wellcome Trust
Neuromodulation technologies are progressing from pacemaking and sensory operations to full closed-loop control. In particular, optogenetics-the genetic modification of light sensitivity into neural tissue allows for simultaneous optical stimulation and electronic recording. This paper presents a neural interface application-specified integrated circuit (ASIC) for intelligent opto-electronic probes. The architecture is designed to enable simultaneous optical neural stimulation and electronic recording. It provides four low noise (2.08 mu V-rms) recording channels optimized for recording local field potentials (LFPs) (0.1-300 Hz bandwidth, +/- 5 mV range, sampled 10-bit@4 kHz), which are more stable for chronic applications. For stimulation, it provides six independently addressable optical driver circuits, which can provide both intensity (8-bit resolution across a 1.1 mA range) and pulse-width modulation for high-radiance light emitting diodes (LEDs). The system includes a fully digital interface using a serial peripheral interface (SPI) protocol to allow for use with embedded controllers. The SPI interface is embedded within a finite state machine (FSM), which implements a command interpreter that can send out LFP data whilst receiving instructions to control LED emission. The circuit has been implemented in a commercially available 0.35 mu m CMOS technology occupying a 1.95 mm x 1.10 mm footprint for mounting onto the head of a silicon probe. Measured results are given for a variety of bench-top, in vitro and in vivo experiments, quantifying system performance and also demonstrating concurrent recording and stimulation within relevant experimental models.
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