Search Results - "Holleman, Jeremy"

Programmable Energy-Efficient Analog Multilayer Perceptron Architecture Suitable for Future Expansion to Hardware Accelerators by Dix, Jeff, Holleman, Jeremy, Blalock, Benjamin J.

“…A programmable, energy-efficient analog hardware implementation of a multilayer perceptron (MLP) is presented featuring a highly programmable system that…”
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On the Impact of Approximate Computation in an Analog DeSTIN Architecture by Young, Steven, Junjie Lu, Holleman, Jeremy, Arel, Itamar

“…Deep machine learning (DML) holds the potential to revolutionize machine learning by automating rich feature extraction, which has become the primary…”
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A wideband ultra-low-current on-chip ammeter by Junjie Lu, Holleman, J.

“…A high-bandwidth ultra-low-current measurement circuit is presented in this paper. The circuit is capable of measuring an on-chip 75 fA current at a bandwidth…”
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An ultra-low voltage self-startup charge pump for energy harvesting applications by Ulaganathan, C., Blalock, B. J., Holleman, J., Britton, C. L.

“…An ultra-low voltage, self-starting, switched-capacitor based charge pump is proposed for energy harvesting applications. The integrated linear charge pump…”
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A Low-Power High-Precision Comparator With Time-Domain Bulk-Tuned Offset Cancellation by Junjie Lu, Holleman, Jeremy

“…A novel time-domain bulk-tuned offset cancellation technique is applied to a low-power high-precision dynamic comparator to reduce its input-referred offset…”
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An Ultralow-Power Low-Noise CMOS Biopotential Amplifier for Neural Recording by Tan Yang, Holleman, Jeremy

“…This brief presents a design strategy for a neural recording amplifier array with ultralow-power low-noise operation that is suitable for large-scale…”
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Fast Simulation of Analog Spiking Neural Network with Device Non-Idealites by Hasan, Md Munir, Holleman, Jeremy

“…We present a method for spiking neural network simulation with hardware realistic device non-idealities present in the neuron and synapse circuits as an…”
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A Sub-Microwatt Low-Noise Amplifier for Neural Recording by Holleman, J., Otis, B.

“…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…”
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Low Power Compact Analog Spiking Neuron Circuit Using Exponential Positive Feedback With Adaptation and Bursting Capability by Hasan, Md Munir, Holleman, Jeremy

“…The authors present an analog spiking neuron design with a small number of transistors operating with a low supply voltage. This is achieved by using the…”
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Hardware Model Based Simulation of Spiking Neuron Using Phase Plane by Hasan, Md Munir, Holleman, Jeremy

“…We present a method to simulate spiking neurons with device nonidealities present in the neuron model. Machine learning algorithms are tested in spiking neural…”
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Leakage Current Compensation in Large Number of Inactive Synapses in a 130nm CMOS Process by Hasan, Md Munir, Holleman, Jeremy

“…Hardware implementations of neuromorphic circuits have been limited mostly in technology nodes that are much older than more advanced CMOS technology nodes…”
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Design of Ultra-Low Power Biopotential Amplifiers for Biosignal Acquisition Applications by Fan Zhang, Holleman, J., Otis, B. P.

“…Rapid development in miniature implantable electronics are expediting advances in neuroscience by allowing observation and control of neural activities. The…”
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Spiking Sparse Coding Algorithm with Reduced Inhibitory Feedback Weights by Hasan, Md Munir, Holleman, Jeremy

“…In this paper we demonstrate that a sparse coding algorithm using spiking neurons can be designed to have reduced inhibitory feedback connections by modifying…”
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A fast convergent and energy efficient offset calibration technique for dynamic comparators by Judy, Mohsen, Holleman, Jeremy

“…A novel offset calibration technique with fast convergence rate for high-speed dynamic comparators is presented. The circuit utilizes a multi-rate charge pump…”
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Implementation of Linear Discriminant Classifier in 130nm Silicon Process by Hasan, M. Munir, Holleman, Jeremy

“…In this paper, an analog implementation of a linear classifier is analyzed and its performance is measured on a classification task. Noise analysis is done for…”
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A Digital 1.6 pJ/bit Chip Identification Circuit Using Process Variations by Ying Su, Holleman, J., Otis, B.P.

“…A 128-bit, 1.6 pJ/bit, 96% stable chip ID generation circuit utilizing process variations is designed in a 0.13 mum CMOS process. The circuit consumes 162 nW…”
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A 4 I14W dual-modulus frequency divider with 198 % locking range for MICS band applications by Jahan, M, Holleman, Jeremy

“…This paper presents the design and performance of an ultra-low-power 4/5 frequency divider based on a CMOS ring oscillator. Measurements show a 198 % locking…”
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Design considerations for neural amplifiers by Holleman, Jeremy

“…The initial amplification stage is a critical element of a neural signal acquisition system, and the design of low-noise, low-power amplifiers has received a…”
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A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS by Junjie Lu, Young, Steven, Arel, Itamar, Holleman, Jeremy

“…An analog implementation of a deep machine-learning system for efficient feature extraction is presented in this work. It features online unsupervised…”
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A 4 μW dual-modulus frequency divider with 198 % locking range for MICS band applications by Jahan, M. Shahriar, Holleman, Jeremy

“…This paper presents the design and performance of an ultra-low-power 4/5 frequency divider based on a CMOS ring oscillator. Measurements show a 198 % locking…”
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