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The intersection of neuroscience, advanced neurotechnologies, and artificial intelligence represents one of the most dynamic frontiers in modern science. Federal agencies, including the NIH, DoD, and NSF, are rapidly expanding investments in neuro-AI, emphasizing the convergence of biological intelligence and engineered computation. Purdue is strategically positioned to lead this effort, given its strengths in neuroscience, neuroengineering, AI systems, and computational modeling. The Purdue Neuroscience, Neurotechnology, and Neuro-AI Symposium would formalize this leadership, catalyze interdisciplinary collaboration, and align campus strengths with evolving national research priorities.

Plenary

Nicholas Hatsoupolous (The University of Chicago)

Ken Shepard (University of Colorado)

Theme 1: BMI's / AI

Marco Capogrosso (University of Pittsburgh)

Rajesh Rao (University of Washington)

Chethan Pandarinath (Georgia Tech)

Maria Dadarlat (Purdue University)

Theme 2: Neurotechnology (Probes)

Lan Luan (Rice University)

Jia Liu (Harvard University)

Shadi Dayeh (University of California San Diego)

Jianguo Mei (Purdue University)

Theme 3: Neuro-optics

Alipasha Vazihiri (The Rockefeller University)

Weijian Yang (The University of California, Davis)

Fang Huang (Purdue University)

Theme 4: Neural Dynamics

Fernando-Ruiz (Cornell University )

Yuri Vlassov (University of Illinois)

Dima Rinberg (New York University)

Krishna Jayant (Purdue University)

Theme 5: Neuro-AI

Brad Aimone (Sandia National Laboratories)

Rajit Manohar (Yale University)

Joseph Makin (Purdue University)

Shreyas Den (Purdue University)