Updates and opportunities for Neuroscience majors at the University of Maryland
Looking for something new that hasn't been offered in a few semesters? Look no further! As you begin to plan your fall 2026 schedule, consider one of these NEUR track courses!
BSCI403: Biology of Vision (NEUR MCP track course)
BSCI443: Advanced Systems Neuroscience (NEUR MCP track course)
BSCI355: Neurobiology of Extraordinary Senses (NEUR BC track course)
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Spring 2026 Semester
REMOTE: Monday & Friday
10 AM - 12 PM
1 PM - 3 PM
IN-PERSON: Tuesday & Thursday
Tues: 2 PM - 4 PM
Thurs: 11 AM - 2 PM
Schedule an appointment at go.umd.edu/learn
Website: Academic Coaching
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Join us for the 2026 Speaker Series kickoff, hosted by Michigan Athletics and the University of Michigan Concussion Center, on Thursday, April 9, at 11:00 AM, featuring internationally recognized neurosurgeon and sports safety leader Dr. Allen Sills. In his presentation, “Can Football Be Made Safer? How Data is Informing Rules, Equipment and Coaching,” Dr. Sills will explore how large-scale injury surveillance, biomechanics research, and advances in clinical care are shaping evidence-based improvements across the sport, while thoughtfully examining the path forward for making the game safer at every level.
Date: Thursday, April 9, 2026
Time: 11:00 AM - 12:00 PM Eastern Time
Location: Junge Family Champions Center or Zoom
About Dr. Sills: Dr. Allen Sills serves as Chief Medical Officer of the National Football League (NFL), where he leads efforts to advance the health and safety of the sport. A board-certified neurosurgeon specializing in the care of athletes, Dr. Sills is Professor of Neurological Surgery at Vanderbilt University Medical Center and Founder and former Co-Director of the Vanderbilt Sports Concussion Center.
In his role with the NFL, Dr. Sills oversees the league’s Head Injury Reduction Plan—a comprehensive, data-driven strategy designed to reduce concussion incidence through rule modifications, equipment innovation, and coaching and technique improvements. Since its implementation, the initiative has been associated with increased reporting transparency and reductions in certain head injuries, alongside continued efforts to minimize head impacts across the game.
It’s that time of the semester again - join us for our annual CMNS Peer Mentor Spring Workshop Series. All workshops will be offered on Zoom.
Use the link below to RSVP for as many workshops as you’d like. The RSVP form includes detailed descriptions of each session to help you plan.
We hope to see you there - please RSVP as soon as possible. Reminders will be sent ahead of each workshop you register for.
Interested in exploring a career in neuropsychiatry? Join us for an engaging panel discussion featuring professionals in the field who will share insights on career pathways, training, and real-world experiences at the intersection of neuroscience and mental health.
Date: Monday, April 13
Time: 6:30-8:00 PM
This is a great opportunity to learn more about neuropsychiatry, ask questions, and connect with experts.
Register at go.umd.edu/NEURPANEL26
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Great News, NEUR community!
The NEUR Merch Shop is staying open a little longer! By popular demand, the shop deadline has been extended through March 29th. Don't miss your chance to grab your NEUR gear before it closes, shop NOW while it's still available!
Please join AIM and CSCS, the (Cognitive Science Colloquium Series) for a lecture featuring Tom Griffiths (Psychology & Computer Science, Princeton University).
When: Thursday, March 26, 2026 | 3:30–5:00 PM
Where: Brendan Iribe Center for Computer Science and Engineering, Room 4105 | (Add to your calendar here or click the flyer!)
Full Abstract: Current artificial intelligence systems demonstrate a surprising amount of heterogeneity in their abilities, displaying superhuman competence in some tasks but puzzling limitations in others. The speaker will argue that the tools needed for understanding this heterogeneity can be found in cognitive science, where researchers have spent decades developing theoretical and empirical methods for making sense of the capabilities of intelligent systems. Work by cognitive scientists suggests two strategies for mapping the jagged edges of AI: identifying general properties of neural networks that might translate into limitations for current AI systems, and considering cases where human minds might provide a guide to problems that pose a challenge for AI. The talk will present examples of both strategies, discussing surprising cases where large language models perform poorly in predictable ways and recent results using the limits of human cognition to predict failures in large language models and vision language models.
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