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Proceedings ArticleDOI

A 0.013mm 2 5μW DC-coupled neural signal acquisition IC with 0.5V supply

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TLDR
This work presents a neural interface in 65nm CMOS and operating at a 0.5V supply that obtains performance comparable or superior to state-of-the-art systems in a silicon area over 3× smaller by using a scalable architecture that avoids on-chip passives and takes advantage of high-density logic.
Abstract
Recent success in brain-machine interfaces has provided hope for patients with spinal-cord injuries, Parkinson's disease, and other debilitating neurological conditions [1], and has boosted interest in electronic recording of cortical signals State-of-the-art recording solutions [2–5] rely heavily on analog techniques at relatively high supply voltages to perform signal conditioning and filtering, leading to large silicon area and limited programmability We present a neural interface in 65nm CMOS and operating at a 05V supply that obtains performance comparable or superior to state-of-the-art systems in a silicon area over 3× smaller These results are achieved by using a scalable architecture that avoids on-chip passives and takes advantage of high-density logic The use of 65nm CMOS eases integration with low-power digital systems, while the low supply voltage makes the design more compatible with wireless powering schemes [6]

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Citations
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Design of agile signal conditioning circuits for microelectromechanical sensors

TL;DR: In this paper, three different chopping techniques are considered: single chopper amplifier (SCA), dual-path amplifier (DCA), and two-stage single-chamber amplifier (TCA), and their sensitivity and power consumption based on the total gain and sensing capacitance are extracted.
Book ChapterDOI

Neural Recording and Neural Stimulation Circuits and Systems

TL;DR: This chapter introduces a 100-channel neural recording IC for acquisition of implant neural spike signals, and presents a chopper stabilized instrumentation amplifier with dual DC cancellation servo loops extended for bio-potential signal acquisition.
Proceedings ArticleDOI

Fully discrete-time neural recording front-ends: Feasibility and design considerations

TL;DR: This paper analytically examines the feasibility of a fully discrete-time neural front-end, and then goes over various design trade-offs that must be considered.

Power Conditioning and Stimulation for Wireless Neural Interface ICs

TL;DR: This work presents two systems which utilize wireless techniques to mitigate scar tissue degrades the recording signal-to-noise ratio and create high-density, long-term interfaces with the human brain.
References
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Journal ArticleDOI

Brain–machine interfaces: past, present and future

TL;DR: This paper discusses designing a fully implantable biocompatible recording device, further developing real-time computational algorithms, introducing a method for providing the brain with sensory feedback from the actuators, and designing and building artificial prostheses that can be controlled directly by brain-derived signals.
Journal ArticleDOI

A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System

TL;DR: A prototype integrated circuit for wireless neural recording from a 100-channel microelectrode array was developed and a two-chip system was used to record neural signals from a Utah Electrode Array in cat cortex and transmit the digitized signals wirelessly to a receiver.
Journal ArticleDOI

A micropower low-noise monolithic instrumentation amplifier for medical purposes

TL;DR: A CMOS low-power low-noise monolithic instrumentation amplifier is described and it can produce variable gains of 14/20/26/40 dB, which are set by control software.
Journal ArticleDOI

An Energy-Efficient Micropower Neural Recording Amplifier

TL;DR: The amplifier appears to be the lowest power and most energy-efficient neural recording amplifier reported to date and the low-noise design techniques that help the neural amplifier achieve input-referred noise that is near the theoretical limit of any amplifier using a differential pair as an input stage.
Journal ArticleDOI

256-Channel Neural Recording and Delta Compression Microsystem With 3D Electrodes

TL;DR: Results of in vitro experimental recordings from intact mouse hippocampus validate the circuit design and the on-chip electrode bonding technology.
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