Double-High-Pass-Filter-Based Electrical-Recording Front-Ends and Fluorescence-Recording Front-Ends for Monitoring Multimodal Neural Activity

This brief presents a multimodal neural activity monitoring system consisting of a double-high-pass-filter-based electrical-recording front-end and a fluorescence-recording front-end. The proposed electrical-recording circuit based on double high-pass filters is implemented by placing a narrow-band buffer in the feedback path of the low-noise and programmable-gain amplifiers so that low-frequency artifacts can be sufficiently suppressed during the electrical and fluorescence recording. The implemented system successfully measures the electrical signals and calcium ions <italic>in vivo</italic> for studying heterogeneous cell populations. For electrical recording, the front-end consumes the power of 2 <inline-formula> <tex-math notation="LaTeX">$\mu \text{W}$ </tex-math></inline-formula>/channel and achieves the input-referred noise of 2.9 <inline-formula> <tex-math notation="LaTeX">$\mu \text{V}_{\mathrm{ rms}}$ </tex-math></inline-formula>. The high-pass cutoff frequency can be programmed from sub-1 Hz to about 300 Hz using the function of double high-pass filtering. For fluorescence recording, the front-end consumes the power of 10.8 <inline-formula> <tex-math notation="LaTeX">$\mu \text{W}$ </tex-math></inline-formula>/block and occupies the area of 0.18 mm<sup>2</sup>/block.

[1]  Benjamin F. Grewe,et al.  Visualizing mammalian brain area interactions by dual-axis two-photon calcium imaging , 2015, 2015 Conference on Lasers and Electro-Optics (CLEO).

[2]  Sreekanth H. Chalasani,et al.  Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators , 2009, Nature Methods.

[3]  Mark J. Schnitzer.  Visualizing mammalian brain area interactions by dual-axis two-photon calcium imaging , 2015, CLEO 2015.

[4]  C. Galup-Montoro,et al.  Nanowatt, Sub-nS OTAs, With Sub-10-mV Input Offset, Using Series-Parallel Current Mirrors , 2006, IEEE Journal of Solid-State Circuits.

[5]  Minkyu Je,et al.  A Multimodal Multichannel Neural Activity Readout IC with 0.7μW/Channel Ca2+-Probe-Based Fluorescence Recording and Electrical Recording , 2019, 2019 Symposium on VLSI Circuits.

[6]  Dong Han,et al.  A 0.45V 100-channel neural-recording IC with sub-µW/channel consumption in 0.18µm CMOS , 2013, 2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers.

[7]  Vijay Viswam,et al.  In Vitro Multi-Functional Microelectrode Array Featuring 59 760 Electrodes, 2048 Electrophysiology Channels, Stimulation, Impedance Measurement, and Neurotransmitter Detection Channels , 2017, IEEE Journal of Solid-State Circuits.

[8]  Srinjoy Mitra,et al.  A Neural Probe With Up to 966 Electrodes and Up to 384 Configurable Channels in 0.13 $\mu$m SOI CMOS , 2017, IEEE Transactions on Biomedical Circuits and Systems.

[9]  Lei Liu,et al.  A 100-Channel 1-mW Implantable Neural Recording IC , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

[10]  Lacey J. Kitch,et al.  Long-term dynamics of CA1 hippocampal place codes , 2013, Nature Neuroscience.