September 26, 2026
Events
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Past Events
May 22, 2026
The Purdue neuroscience, neurotechnology, and Neuro-ai symposium
Join us for a two day event, May 22-23, 2026 for the Purdue Neuroscience, Neurotechnology and Neuro-AI Symposium (PN3), presented by the Weldon School of Biomedical Engineering, the College of Engineering, the Purdue Institute for Integrative Neuroscience and the Institute for Physical Artificial Intelligence.
April 29, 2026
Detection and Modulation of Autonomic Dysregulation after Spinal Cord Injury in Translational Research Studies with Leif Havton, MD, PhD
Leif Havton, MD, PhD (University of Washington and VA Puget Sound) will present his translational research on detecting and managing autonomic dysreflexia following spinal cord injuries. His talk will highlight the use of artificial intelligence to identify novel, non-invasive biomarkers for clinically silent autonomic episodes and explore emerging interventions like stem cell grafting.
April 24, 2026
BME Design Day
Design Day is the culminating event of the Senior Design experience in Indianapolis, where students present their solutions to peers, faculty and mentors.
April 23, 2026
BME Research Symposium
Welcome to the 2026 Biomedical Engineering Research Symposium! The event will take place on April 23rd, 2026 in the Hall for Discovery Learning Research (DLR Room 131) on the Purdue University, West Lafayette campus.
April 22, 2026
Integrating Artificial Sensation to Close the Sensorimotor Loop for Bilateral Neural Prostheses with Maria Dadarlat
Dexterous neural prostheses require complex sensory feedback to complement accurate neural decoding of movement. While visual feedback is the primary sensory source for current users, it is insufficient for the complex, high-degree-of-freedom tasks required in daily life, particularly for coordinated bilateral movements.
April 15, 2026
Uncovering the Neural Contribution to Biomaterial-Mediated Musculoskeletal Healing with Warren Grayson, PhD
Tissue engineering provides a viable means of regenerating bone and skeletal muscle following injuries. Our lab has developed advanced biomaterial-based approaches to promote recovery following volumetric bone and muscle loss. To further improve biomaterial design, we focused on developing a robust understanding of heterotypic cellular interactions that are critical for healing. Specifically, both bone and skeletal muscle are highly vascularized and innervated tissues. Consequently, angiogenesis and neural infiltration are critical processes underlying their functional regeneration. Through our quantitative lightsheet microscopy platform, which can image the entire tissues at single-cell resolution, we are mapping the neurovascular associations during homeostasis, aging, and biomaterial-mediated healing to determine remaining gaps. Combined with transcriptomic approaches, this data is employed to identify novel therapeutic targets for bone and skeletal muscle.
April 8, 2026
Decoding and Targeting Epileptic Brain States with Ritchie Chen, PhD
Temporal lobe epilepsy (TLE) is among the most common neurological disorders, yet about 30% of patients do not respond to existing medications and continue to experience seizures. To advance new therapies, I will present our recent work developing engineered phenotyping platforms for biomarker discovery in mouse models of TLE.
April 1, 2026
How the Brain Reads Natural and Artificial Signals from Visual Cortex with John Maunsell, PhD
"How the Brain Reads Natural and Artificial Signals from Visual Cortex" with John Maunsell, PhD, Albert D. Lasker Distinguished Service Professor Department of Neurobiology and Director of the Neuroscience Institute, University of Chicago
March 26, 2026
Your Brain in Motion: How Neuroimaging and Computer Vision Transform Our Understanding of Brain Biomechanics
“Your Brain in Motion: How Neuroimaging and Computer Vision Transform Our Understanding of Brain Biomechanics” seminar with Mehmet Kurt, PhD, Associate Professor of Mechanical Engineering, University of Washington
March 25, 2026
Dynamical systems models in neuroscience: Are they explanatory? Are they mechanistic? with William Newsome, PhD
In this seminar...
"I will review recent uses of dynamical systems models to analyze and interpret neural population dynamics in monkey cerebral cortex. Viewed through the lens of dynamical systems theory (DST), the activity of single neurons are but noisy reflections of underlying latent variables that define and govern the collective activity of the neural population. By focusing on the collective level, DST analyses are bringing remarkable clarity and intelligibility to single neuron data sets that are otherwise deeply puzzling. These results raise contentious issues among neuroscientists and philosophers of neuroscience. Are DST models explanatory, or merely descriptive? If explanatory, do they provide mechanistic insight? I will review both sides of the argument."
"I will review recent uses of dynamical systems models to analyze and interpret neural population dynamics in monkey cerebral cortex. Viewed through the lens of dynamical systems theory (DST), the activity of single neurons are but noisy reflections of underlying latent variables that define and govern the collective activity of the neural population. By focusing on the collective level, DST analyses are bringing remarkable clarity and intelligibility to single neuron data sets that are otherwise deeply puzzling. These results raise contentious issues among neuroscientists and philosophers of neuroscience. Are DST models explanatory, or merely descriptive? If explanatory, do they provide mechanistic insight? I will review both sides of the argument."