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This paper presents a novel compressive sensing (CS) framework for recording of electrically evoked brain dopamine levels using fast-scan cyclic voltammetry (FSCV) at a carbon-fiber microelectrode (CFM). This approach utilizes the discrete cosine transform (DCT) as the sparsifying domain for the background-subtracted faradaic (dopamine) currents, along with the block sparse Bayesian learning (BSBL)...
This paper reports on field-programmable gate array (FPGA) implementation of a digital signal processing (DSP) unit for real-time processing of neurochemical data obtained by fast-scan cyclic voltammetry (FSCV) at a carbonfiber microelectrode (CFM). The DSP unit comprises a decimation filter and two embedded processors to process the FSCV data obtained by an oversampling recording front-end and differentiate...
A 3.3 × 3.2mm2 SoC in 0.35μm 2P/4M CMOS combines neurochemical sensing, on-the-fly chemometrics, and feedback-controlled stimulation to realize a “neurochemical thermostat” by differentiating electrically evoked brain dopamine levels from interferents in complex signals recorded in vivo and maintaining the levels between two user-set thresholds via closed-loop neuromodulation. The SoC features duty...
This paper reports the hardware implementation of a digital signal processing (DSP) unit for real-time processing of data obtained by fast-scan cyclic voltammetry (FSCV) at a carbon-fiber microelectrode (CFM), an electrochemical transduction technique for high-resolution monitoring of brain neurochemistry. Implemented on a field-programmable gate array (FPGA), the DSP unit comprises a decimation filter...
This paper describes a system-on-chip (SoC) fabricated in 0.35µm 2P/4M CMOS for high-fidelity neurochemical pattern generation in vivo. The SoC uniquely integrates electrical stimulation with embedded timing management and 400V/s fast-scan cyclic voltammetry (FSCV) sensing, and manages a novel switched-electrode scheme that eliminates the possibility of large stimulus artifacts adversely affecting...
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