By Melissa Marsh - 13th May, 2026

Brains on Brains: Inside MIT’s Symbiotic Vision for AI and Neuroscience

CAMBRIDGE, MA — On May 4, 2026, the atrium of MIT Building 46 buzzed with a rare energy as the Department of Brain and Cognitive Sciences (BCS), the McGovern Institute, and the Picower Institute hosted the Brains on Brains Symposium. This wasn’t just an academic gathering; it was a high-stakes dialogue on the future of biological and artificial intelligence, the looming threats to federal research funding, and the groundbreaking clinical frontiers of neural-immune interactions.

The choice of venue was anything but accidental. The event took place within Building 46, a 411,000-square-foot masterpiece located at 43 Vassar Street. Completed in 2005 and designed by the visionary architect Charles Correa, the building serves as a physical manifestation of the research it houses. With its soaring 90-foot atrium, the facility was designed to foster the very "mixed selectivity" and cross-disciplinary collisions that the symposium’s speakers highlighted as the hallmark of human intelligence.

The Human Advantage: Energy and Intuition

The afternoon opened with a challenge to the silicon giants of Silicon Valley. Professor Earl Miller took the stage to explain why your brain beats AI on the energy of a simple light bulb. Miller dismantled the historical view of the brain as a rigid collection of specialized circuits, describing it instead as a dynamic network of "mixed selectivity" neurons performing analog computation through brain waves.

"The brain is not just a collection of specialized circuits... but a multi-faceted network where 'mixed selectivity' neurons use brain waves to perform analog computation and organize thought patterns," Miller shared during his presentation.

Expanding on this human-centric model, Josh Tenenbaum addressed the limitations of current AI, which relies heavily on statistical patterns. Tenenbaum advocated for machines that "grow into intelligence" like children do, using "probabilistic programs" and inbuilt representations of intuitive physics.

AI as the New Microscope

In the faculty panel "AI and the Brain," moderated by Department Head Michale Fee, researchers discussed a symbiotic revolution where AI serves as both a model for the brain and a tool for discovery. Jim DiCarlo, Director of the MIT Quest for Intelligence, detailed how AI is now being utilized as a "microscope" for neural data.

The symposium highlighted ambitious "moonshots," including the construction of a Digital Twin of the C. elegans connectome. By recording all 302 neurons simultaneously, researchers hope to achieve causal neural control of behavior—an impossible feat just a decade ago.

Why This Matters: The PLASTARC Connection

For the team at PLASTARC, engaging with the MIT AI and neuroscience community is a cornerstone of our mission to bridge the gap between people and the built environment. As we work to harmonize workplace strategy with human behavior, the insights shared at "Brains on Brains" provide the "why" behind the "where."

By understanding the biological drivers of cognitive performance—from Professor Laura Lewis’s research on how sleep-driven CSF waves "clean" the brain to Gloria Choi’s findings on how physical movement and social touch regulate mood—we can move beyond architectural trends toward true evidence-based design. Just as the MIT researchers use AI as a "microscope" to decode the brain, PLASTARC leverages occupancy data and social science as tools to decode the workplace. Staying at the edge of this neuro-innovation ensures that our strategies aren't just aesthetic, but are neurologically tuned to foster health, focus, and human connection.

Lightning Talks: The Precision Frontier

The program shifted to rapid-fire student presentations, showcasing the direct clinical application of MIT research:

• Precision Psychiatry: Gun Ahn detailed how machine learning can now predict which adolescents with depression may develop bipolar disorder, reducing "trial-and-error costs" for patients.
• Gene Therapy Moonshots: Shannon Knight presented "Casmini," a miniaturized CRISPR tool designed to upregulate the SYNGAP1 gene, effectively stopping seizures in mouse models.
• Restoring Vision: Eric Wang demonstrated that 40 Hz gamma-frequency light flickering can reopen adult brain plasticity, offering new hope for treating conditions like amblyopia.

Rewiring Through Immunity

The final faculty talk by Gloria Choi explored the profound ways in which the body’s immune system "rewires" the brain via cytokines. Choi shared compelling stories, ranging from the impact of exercise on stress to the "fever effect" in autism.

"Social touch, mediated by IL-10, was found to aid recovery from illness in mice... and activation of neurons sensing muscle stretch was shown to improve mood and reduce stress, performing as effectively as medication in some cases," Choi explained.

A Call for Strategic Resilience

The symposium concluded against a backdrop of financial urgency. Dean of Science Nergis Mavalvala and other speakers noted a proposed 40% budget reduction to the NIH, which could halt the development of up to 50% of oral medications in the pipeline. In this landscape, individual philanthropy—including major contributions from the McGovern family and others exceeding $46 million—has become the primary driver of high-risk, high-reward discovery.

As attendees filtered out into the singleton auditorium for the "Brainbow" reception, the takeaway was clear: the path to understanding the brain requires a "whole-of-government" and "whole-of-philanthropy" approach to match the speed of technical change.

For more information on the ongoing research and how to support these initiatives, visit the MIT Brain and Cognitive Sciences portal. To learn more about how PLASTARC applies these insights to the future of the workplace, visit plastarc.com.