Research at the Interface of Nanoelectronics and Brain

Welcome to UCSD Neuroelectronics Lab

We develop nanoelectronic devices for energy-efficient neuro-inspired computing and accelerating machine learning algorithms in hardware. These nanoelectronic devices take advantage of nonlinear switching characteristics of quantum materials allowing them to implement complex computational functions by single devices or small scale networks. We also apply innovations in nanoelectronics to develop new neurotechnologies, which will help to better understand circuit-level computation in the brain. Transparent neural interfaces enable multimodal experiments to monitor brain activity at multiple spatial and temporal scales to target specific problems in neuroscience and neurology.

NEWS

March 11, 2026

Brain-inspired Device Could Lead to Faster, More Energy-efficient AI Hardware

FEBRUary 9, 2026

An 8-layer Stack of bulk RRAM Runs a Continually Learning Neural Network

January 11, 2024

Transparent Brain Implant Can Read Deep Neural Activity From the Surface

October 10, 2022

Human Brain Organoids Implanted into Mouse Cortex Respond to Visual Stimuli for First Time

April 27, 2021

Neural Implant Monitors Multiple Brain Areas at Once, Provides New Neuroscience Insights

January 30, 2019

Neural Electrodes Snake Around Blood Vessels, Up Nerves