Boris Murmann
YOU?
Author Swipe
View article: A Scalable 1024-Channel Ultra-Low-Power Spike Sorting Chip With Event-Driven Detection and Spatial Clustering
A Scalable 1024-Channel Ultra-Low-Power Spike Sorting Chip With Event-Driven Detection and Spatial Clustering Open
This paper presents a 1024-channel ultra-low-power spike sorting chip featuring event-driven spike detection and spatial clustering for large-scale neural recording. To address power and scalability constraints in brain-computer interfaces…
View article: A Framework for Compressive On-chip Action Potential Recording
A Framework for Compressive On-chip Action Potential Recording Open
Scaling neural recording systems to thousands of channels creates extreme bandwidth demands, posing a challenge for resource-constrained, implantable devices. This work introduces an adaptive, multi-stage compression framework for high-ban…
View article: A Framework for Compressive On-chip Action Potential Recording
A Framework for Compressive On-chip Action Potential Recording Open
Scaling neural recording systems to thousands of channels creates extreme bandwidth demands, posing a challenge for resource-constrained, implantable devices. This work introduces an adaptive, multi-stage compression framework for high-ban…
View article: Inherent stochasticity, noise and limits of detection in continuous and time-gated fluorescence systems
Inherent stochasticity, noise and limits of detection in continuous and time-gated fluorescence systems Open
We present a model for the noise and inherent stochasticity of fluorescence signals in both continuous wave (CW) and time-gated (TG) conditions. When the fluorophores are subjected to an arbitrary excitation photon flux, we apply the model…
View article: TinyML4D: Scaling Embedded Machine Learning Education in the Developing World
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World Open
Embedded machine learning (ML) on low-power devices, also known as "TinyML," enables intelligent applications on accessible hardware and fosters collaboration across disciplines to solve real-world problems. Its interdisciplinary and pract…
View article: On Stress: Combining Human Factors and Biosignals to Inform the Placement and Design of a Skin-like Stress Sensor
On Stress: Combining Human Factors and Biosignals to Inform the Placement and Design of a Skin-like Stress Sensor Open
With advances in electronic-skin and wearable technologies, it is possible to continuously measure stress markers from the skin and sweat to monitor and improve wellbeing and health. Understandably, the sensor's engineering and resolution …
View article: TinyForge: A Design Space Exploration to Advance Energy and Silicon Area Trade-offs in tinyML Compute Architectures with Custom Latch Arrays
TinyForge: A Design Space Exploration to Advance Energy and Silicon Area Trade-offs in tinyML Compute Architectures with Custom Latch Arrays Open
The proliferation of smart IoT devices has given rise to tinyML, which deploys deep neural networks on resource-constrained systems, benefitting from custom hardware that optimizes for low silicon area and high energy efficiency amidst tin…
View article: Special Issue on TinyML
Special Issue on TinyML Open
This IEEE Micro special issue on tiny machine learning (TinyML) explores cutting-edge research on optimizing machine learning models for highly resource-constrained devices like microcontrollers and embedded systems. The articles cover tec…
View article: Data Compression Versus Signal Fidelity Tradeoff in Wired-OR Analog-to-Digital Compressive Arrays for Neural Recording
Data Compression Versus Signal Fidelity Tradeoff in Wired-OR Analog-to-Digital Compressive Arrays for Neural Recording Open
Future high-density and high channel count neural interfaces that enable simultaneous recording of tens of thousands of neurons will provide a gateway to study, restore and augment neural functions. However, building such technology within…
View article: A 1024-Channel 268 nW/pixel 36x36 μm<sup>2</sup>/ch Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces
A 1024-Channel 268 nW/pixel 36x36 μm<sup>2</sup>/ch Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces Open
This paper presents a neural recording IC featuring lossy compression during digitization, thus preventing data deluge and enabling a compact active digital pixel design. The wired-OR-based compression discards unwanted baseline samples wh…
View article: Enhancing the Energy Efficiency and Robustness of tinyML Computer Vision Using Coarsely-quantized Log-gradient Input Images
Enhancing the Energy Efficiency and Robustness of tinyML Computer Vision Using Coarsely-quantized Log-gradient Input Images Open
This article studies the merits of applying log-gradient input images to convolutional neural networks (CNNs) for tinyML computer vision (CV). We show that log gradients enable: (i) aggressive 1-bit quantization of first-layer inputs, (ii)…
View article: Low-voltage polymer transistors on hydrophobic dielectrics and surfaces
Low-voltage polymer transistors on hydrophobic dielectrics and surfaces Open
A set of unique features, including large-area solution processing on flexible and stretchable substrates, make polymer semiconductors a promising material choice for a range of state-of-the-art applications in electronics, optoelectronics…
View article: Capturing Layout Dependent Effects in MOSFET Circuit Sizing Using Precomputed Lookup Tables
Capturing Layout Dependent Effects in MOSFET Circuit Sizing Using Precomputed Lookup Tables Open
Sizing analog circuits using precomputed look-up tables (LUTs) has recently gained traction for fast and systematic design-space exploration without a simulator in the loop. In its current form, the underlying -based design methodology ass…
View article: Tailoring Electrode Surface Charge to Achieve Discrimination and Quantification of Chemically Similar Small Molecules with Electrochemical Aptamers (Adv. Funct. Mater. 1/2023)
Tailoring Electrode Surface Charge to Achieve Discrimination and Quantification of Chemically Similar Small Molecules with Electrochemical Aptamers (Adv. Funct. Mater. 1/2023) Open
Electrochemical Aptamer Biosensors In article number 2208534, Fu, Soh, and co-workers report an electrochemical biosensor to distinguish molecules with a minuscule difference in chemical composition by tuning the charge state of the surfac…
View article: Tailoring Electrode Surface Charge to Achieve Discrimination and Quantification of Chemically Similar Small Molecules with Electrochemical Aptamers
Tailoring Electrode Surface Charge to Achieve Discrimination and Quantification of Chemically Similar Small Molecules with Electrochemical Aptamers Open
Electrochemical biosensors based on structure‐switching aptamers offer many advantages because they can operate directly in complex samples and offer the potential to integrate with miniaturized electronics. Unfortunately, these biosensors…
View article: Tailoring electrode surface charge to achieve discrimination and quantification of chemically similar small molecules with electrochemical aptamers
Tailoring electrode surface charge to achieve discrimination and quantification of chemically similar small molecules with electrochemical aptamers Open
Electrochemical biosensors based on structure-switching aptamers offer many advantages because they can operate directly in complex samples and offer the potential to integrate with miniaturized electronics. Unfortunately, these biosensors…
View article: Innovating at Speed and at Scale: A Next Generation Infrastructure for Accelerating Semiconductor Technologies
Innovating at Speed and at Scale: A Next Generation Infrastructure for Accelerating Semiconductor Technologies Open
Semiconductor innovation drives improvements to technologies that are critical to modern society. The country that successfully accelerates semiconductor innovation is positioned to lead future semiconductor-driven industries and benefit f…
View article: Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images
Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images Open
This paper studies the merits of applying log-gradient input images to convolutional neural networks (CNNs) for tinyML computer vision (CV). We show that log gradients enable: (i) aggressive 1.5-bit quantization of first-layer inputs, (ii)…
View article: Accelerated Electron Transfer in Nanostructured Electrodes Improves the Sensitivity of Electrochemical Biosensors
Accelerated Electron Transfer in Nanostructured Electrodes Improves the Sensitivity of Electrochemical Biosensors Open
Electrochemical biosensors hold the exciting potential to integrate molecular detection with signal processing and wireless communication in a miniaturized, low‐cost system. However, as electrochemical biosensors are miniaturized to the mi…
View article: Single-chip mixer-based subarray beamformer for sub-Nyquist sampling in ultrasound imaging
Single-chip mixer-based subarray beamformer for sub-Nyquist sampling in ultrasound imaging Open
Compressed sensing (CS) has been proposed as a method of breaking the seemingly inherent tradeoff between sampling rate and resolution in a variety of applications, such as ultrasound imaging. Although various studies have demonstrated the…
View article: F4: Electronics for a Quantum World
F4: Electronics for a Quantum World Open
Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. We have seen an emergence of quantum-computing activity in recent years from an uptick of startups…
View article: A 32 Gb/s PAM-4 Optical Transceiver With Active Back Termination in 40 nm CMOS Technology
A 32 Gb/s PAM-4 Optical Transceiver With Active Back Termination in 40 nm CMOS Technology Open
This article describes the design of a 32 Gb/s four-level pulse amplitude modulation (PAM- 4) optical transceiver in a 40 nm CMOS technology. At the transmitter side, the laser driver is composed of an asymmetric waveform equalizer, a 3-ta…
View article: SSCD Runs Inaugural Workshop on Hardware Security [Society News]
SSCD Runs Inaugural Workshop on Hardware Security [Society News] Open
Presents information on the Workshop on Hardware Security.
View article: Going beyond the Debye Length: Overcoming Charge Screening Limitations in Next-Generation Bioelectronic Sensors
Going beyond the Debye Length: Overcoming Charge Screening Limitations in Next-Generation Bioelectronic Sensors Open
Electronic biosensors are a natural fit for field-deployable diagnostic devices, because they can be miniaturized, mass produced, and integrated with circuitry. Unfortunately, progress in the development of such platforms has been hindered…
View article: Low-Rank Training of Deep Neural Networks for Emerging Memory Technology
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology Open
The recent success of neural networks for solving difficult decision tasks has incentivized incorporating smart decision making "at the edge." However, this work has traditionally focused on neural network inference, rather than training, …
View article: S-Parameter-Based Defect Localization for Ultrasonic Guided Wave SHM
S-Parameter-Based Defect Localization for Ultrasonic Guided Wave SHM Open
In this work, an approach for enabling miniaturized, low-voltage hardware for active structural health monitoring (SHM) based on ultrasonic guided waves is investigated. The proposed technique relies on S-parameter measurements instead of …
View article: Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory
Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory Open
Batch Normalization (BatchNorm) is commonly used in Convolutional Neural Networks (CNNs) to improve training speed and stability. However, there is still limited consensus on why this technique is effective. This paper uses concepts from t…