Rabaey, Jan M.

A study of low level vibrations as a power source for wireless sensor nodes

Roundy, S., Wright, P. K., & Rabaey, J. (2003) · Computer Communications

Innovative Energy Harvesting TechnologiesAdvanced Sensor and Energy Harvesting Materials

Cited by 2,819

Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust

Seo, D., Neely, R. M., Shen, K., Singhal, U., Alon, E., Rabaey, J. M., Carmena, J. M., & Maharbiz, M. M. (2016) · Neuron

Neuroscience and Neural EngineeringMolecular Communication and Nanonetworks

Cited by 557

A 0.013 ${\hbox {mm}}^{2}$, 5 $\mu\hbox{W}$, DC-Coupled Neural Signal Acquisition IC With 0.5 V Supply

Muller, R., Gambini, S., & Rabaey, J. M. (2012) · IEEE Journal of Solid-State Circuits

Analog and Mixed-Signal Circuit DesignRadio Frequency Integrated Circuit Design

Cited by 338

A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing

Rahimi, A., Kanerva, P., & Rabaey, J. M. (2016) · Proceedings of the 2016 International Symposium on Low Power Electronics and Design

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 276

Neural Dust: An Ultrasonic, Low Power Solution for Chronic Brain-Machine Interfaces

Seo, D., Carmena, J. M., Rabaey, J. M., Alon, E., & Maharbiz, M. M. (2013) · arXiv

Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit Design

Cited by 172

Model validation of untethered, ultrasonic neural dust motes for cortical recording

Seo, D., Carmena, J. M., Rabaey, J. M., Maharbiz, M. M., & Alon, E. (2015) · Journal of Neuroscience Methods

Neuroscience and Neural EngineeringWireless Body Area Networks

Cited by 158

Hyperdimensional computing with 3D VRRAM in-memory kernels: Device-architecture co-design for energy-efficient, error-resilient language recognition

Li, H., Wu, T. F., Rahimi, A., Li, K.-S., Rusch, M., Lin, C.-H., Hsu, J.-L., Sabry, M. M., Eryilmaz, S. B., Sohn, J., et al. (2016) · 2016 IEEE International Electron Devices Meeting (IEDM)

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 136

An implantable 700μW 64-channel neuromodulation IC for simultaneous recording and stimulation with rapid artifact recovery

Johnson, B. C., Gambini, S., Izyumin, I., Moin, A., Zhou, A., Alexandrov, G., Santacruz, S. R., Rabaey, J. M., Carmena, J. M., & Muller, R. (2017) · 2017 Symposium on VLSI Circuits

Analog and Mixed-Signal Circuit DesignNeuroscience and Neural Engineering

Cited by 119

Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing

Zhou, A., Muller, R., & Rabaey, J. (2021) · arXiv

Muscle activation and electromyography studiesHand Gesture Recognition Systems

Cited by 17

Equalization for intracortical microstimulation artifact reduction.

Chu, P., Muller, R., Koralek, A., Carmena, J. M., Rabaey, J. M., & Gambini, S. (2013) · 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Neuroscience and Neural EngineeringDeep Brain Stimulation and Movement Disorders

Cited by 13