NEUROTECH @BERKELEY.

UC Berkeley's student community for building, connecting, and educating in the field of neurotechnology.

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Neurotech@Berkeley is a community of passionate and intellectually curious minds doing all things brain-related: from engineering innovative solutions to the biggest problems in neurotechnolgy through software, hardware, and wetware, to publishing mind-blowing thought pieces in our own magazine; from developing top-notch engineering solutions for industry partners to educating the Berkeley community with our student-run neurotechnology course; from hosting inspiring talks from neurotech experts to co-organizing the annual California Neurotechnology Conference. If you're passionate about brains, we are the community for you!

Spring 2025 Recruitment

We are recruiting this semester! 🧠


Neurotech@Berkeley is currently recruiting! Come learn about what Neurotech has to offer and talk to our members at our table on Sproul Plaza/In front of Wheeler, or at one of our Infosessions listed below! Fill out our interest form to let us know you’re reading this and get reminders about the application.
Our application is linked below!


IMPORTANT DATES:
Application Opens: Tuesday 01/21 8AM
Infosession 1: Tuesday 01/28 8-10PM
Infosession 2: Wednesday 01/29 8-10PM
Application Closes: Thursday 01/30 11:59PM






Current Software & Devices Projects

Every semester, our divion groups collaborate with industry clients and partners as well as tackle interesting projects on our own. Visit our projects page for recent projects and news.

RobLES

Build and control an external limb using EMG (building off of Neurowrist work)

Wetware Computing

Bridging the gap between silicon and biology - the first collegiate initiative to compute and understand live neural circuits!

Neuromorph

Design and build a flexible EEG that is affordable and enables user-defined electrode position and count

fMRI Image Reconstruction Model

Reconstructing images that people see from fMRI data, i.e. “imagination reading” with a stable diffusion based machine learning architecture

MRI Cancer Detection Model

A computer vision project utilizing the U Net architecture to identify tumor cells in an MRI scan of a person’s brain.

EMG Gesture Prediction

A novel CNN and LSTM based machine learning project predicting hand gestures from EMG muscle movements






Community Partners

Thank you to our sponsors!