The Brains in Silicon Lab at Stanford University is committed to making neuromorphic computing a more open and inclusive field and welcomes individuals with unique academic training and diverse cultural identity.

If our ongoing projects and recent publications interest you, email a resumé and brief introduction to Dr. Kwabena Boahen, as well as current lab members you identify with. We are currently recruiting undergraduates, graduate students, and postdocs for the following recently-funded projects:

Dendritic Computation for Knowledge Systems

This project funded by Stanford's Institute for Human-Centered AI (HAI) brings together Dr. Scott Linderman's group (Stanford Statistics), Dr. Philip Wong's group (Stanford EE), Dr. Matei Zaharia's group (Stanford CS), and our group. This multidisciplinary collaboration aims to develop dendrite-like nanodevices, fabrication techniques to integrate them in 3-D, and a circuit-switched routing fabric to interconnect them.

Dendritic Processing of Spike Sequences in Biological and Artificial Brains

This NSF-funded project brings together Dr. Scott Linderman's group (Stanford Statistics), Dr. Subhashish Mitra's group (Stanford EE), Dr. Nick Steinmetz's group (Univ. of Washington, Dept. of Biological Structure), Dr. Philip Wong's group (Stanford EE), Dr. Kareem Zaghloul's group (NIH NINDS), and our group. This multidisciplinary collaboration is uncovering how an ensemble of neurons learns to encode and a stretch of dendrite learns to decode information in a sequence of spikes and is implementing those learning rules in a 3-D chip.

The Synaptic Organization of Dendrites

This project co-funded by Stanford's Institute for Human-Centered AI (HAI) and Wu Tsai Neurosciences Institute brings together Dr. Andreas Tolias's group (Stanford Ophthalmology) and our group. This multidisciplinary collaboration aims to discover anatomical signatures of spike-sequence coding in dendrites by mining the MICrONS consortium's nanoscale 3-D reconstruction of over 100,000 neurons and 500 million synaptic connections.

Sparse Event Neuromorphic Technology for Infrared Visuals

This project funded by DARPA’s FENCE program is led by Northrop Grumman and includes Dr. Andreas Andreou’s group (JHU), Dr. Gert Cauwenbergh’s group (UCSD), and our group as university partners. This consortium is developing a smart camera by stacking detector, pixel, and processor in 3D. These elements are interconnected with through-silicon-vias (TSV) and face-to-face-bonded Cu-Cu pads. Our group is designing a bit-serial network-on-a-chip (NoC) to route configuration data to the processors and a bit-parallel NoC to route processed events to the periphery. This work builds on our bit-serial NoC, bit-parallel interchip network, and silicon retina designs, and spans analog circuit design, asynchronous logic design, hardware-software co-design, embedded systems, and event-based vision algorithms.