PSyLab

(Processing Systems Lab)

Highly-compact delta-encoded ECoG recording
A multiplexed neural-recording front-end that exploits neural-signal statistics to achieve a robust architecture with 10X improvement in neural recording density.
Learn More
Computationally-locked all-digital PLLs
The fastest PVT-robust PLL cold-start and re-lock times for system clocking ever recorded in literature.
Learn More
UniCAP
A unified clock and power regulation architecture for digital SoC domains, virtually eliminating supply noise and temperature-related supply guardbands.
Learn More
Adaptive machine learning
Learning around failures in low-voltage on-chip memories to enable energy-efficient neural network accelerators.
Learn More
Quasi-resonant clocking
The first-ever voltage-scalable, frequency-independent and DVFS-enabled resonant clock architecture.
Learn More

About PSyLab

PsyLab focuses on digital and mixed-signal circuits and architectures for biomedical electronics, and energy-efficient computing. In particular, we focus on exploiting observations at the system and architecture level to arrive at new, creative solutions to important problems. This common thread is visible across our work on neural (ECoG) recording architectures, computationally locked PLLs, machine-learning acclerators, next-generation clocking architectures, and clock-voltage regulation. Identifying the connections that exist across different domains of Electrical and Computer Engineering have allowed us to demonstrate state-of-the-art solutions in these areas.