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—A 128-bit, 1.6 pJ/bit, 96% stable chip ID generation circuit utilizing process variations is designed in a 0.13 m CMOS process. The circuit consumes 162 nW from a 1 V supply at low readout frequencies and 1.6 W at 1 Mb/s. Cross-coupled logic gates were employed to simultaneously generate, amplify, and digitize the random circuit offset to create a stable(More)
Advances in electronic-neural interfaces have shown great potential for both neuroscience research and medical devices. Much of the work to date has focused on short-range inductive links for power and communication transfer [1]. There is an emerging need for active miniaturized systems that stream neural data in the far field, which would enable the(More)
In this paper we present a pre-amplifier designed for neural recording applications. Extremely low power dissipation is achieved by operating in an open-loop configuration, restricting the circuit to a single current branch, and reusing current to improve noise performance. Our amplifier exhibits 3.5 microVrms of input-referred noise and has a(More)
Many integrated circuit applications require a unique identification number (ID) on each die that can be read anytime during the lifetime of the chip. A robust read-only ID is important for labeling RFID tags, addressing low-power wireless sensor nodes, IC process quality control, and secure documentation. Traditional methods of writing addresses into ROMs(More)
— This paper presents two novel hardware random number generators (RNGs) based on latch metastability. We designed the first, the DC-nulling RNG, for extremely low power operation. The second, the FIR-based RNG, uses a predictive whitening filter to remove non-random components from the generated bit sequence. In both designs, the use of floating-gate(More)
The Bumblebee is a self-contained, ultra lightweight, low power 7.6 x 8.7 mm 2 wireless sensor capable of reliably transmitting data over 10 meters to a USB-compatible 433MHz receiver for approximately 3 days continuously on one 0.17g battery. With its small size, microvolt level noise floor, and 0.3g weight, the Bumblebee is well suited for on-body(More)
— In this paper, we present a new class of charge pump capable of generating voltages 3.75 times greater than the supply in a single clock cycle. It occupies .005 mm 2 in a 0.13µm CMOS process and can operate with a supply voltage between 0.4V and 1.2V, or as low as 0.2V with some pulse-shape distortion. Our charge pump can provide output voltages of up to(More)
— We present a fully-integrated system for the detection and characterization of action potentials observed in extracellular neural recordings. The circuit includes an analog implementation of the nonlinear energy operator for spike detection. The minimum and maximum value of detected spikes are captured by peak detectors and digitized by an on-chip(More)
We have a developed an analog VLSI system that models the coordination of neurobiological segmental oscillators. We have implemented and tested a system that consists of a chain of eleven pattern generating circuits that are synaptically coupled to their nearest neighbors. Each pattern generating circuit is implemented with two silicon Morris-Lecar neurons(More)