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Eric Yttri

Associate Professor

  • Pittsburgh PA UNITED STATES

Eric Yttri's research goal is to establish how neural circuits lead to these action selection decisions.

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Biography

The selection of actions is central to how we interact with the world, a reality that is often not fully appreciated until this ability is lost through impairments like stroke, Parkinson's Disease and OCD. The goal of Eric Yttri's research is to establish how neural circuits lead to these action selection decisions. The vital ability to make appropriate actions requires the coordination of motor, reward and cognitive brain systems. While compelling research has been accomplished in individual brain areas, studying elements of neuronal circuits in isolation yields an incomplete and potentially misleading picture. His research approach is inclusive yet specific: interrogating the functional interactions between areas in a manner more typical of cognitive neuroscience (e.g., fMRI) while also identifying the computational contributions of individual cell types within each region. His work uses electrophysiological, behavioral and computational tools to build upon the distributed action execution model, delineating a specific role for each individual cell in the motor system.

Areas of Expertise

Complex Motor Control
Cognitive Brain Function
Neuroscience
Motor Coordination
Neural Circuits

Media Appearances

Understanding the biomechanics, neuroscience of athletes in the FIFA World Cup

TribLive  online

2026-06-20

For athletes, what separates the good from the great — and the elite on the FIFA World Cup stage — is the brain’s basal ganglia, a group of brain structures linked together to handle complex processes that affect a person’s body.

“The main thing (athletes) possess is very detailed models of how to interact in any situation,” said Eric Yttri, a Carnegie Mellon University professor who studies bio­medical engineering and neuro­science.

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Hesitation is costly in sports but essential to life – neuroscientists identified its brain circuitry

Yahoo! News  online

2026-02-12

As a neuroscientist, I have been working to uncover how the brain decides when to act and when to wait. Recent research from my team and me helps explain why this split-second pause happens, offering insight not only into elite athletic performance, but also how people make everyday decisions when the potential outcome isn’t clear.
[...]

Hesitation is not a flaw – it’s a critical feature for navigating an unpredictable world. Whether you’re a figure skater waiting for the perfect moment to launch your jump or just going about your day, the circuitry behind hesitation plays an important role in figuring out the timing to get the action right.

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Carnegie Mellon University Hosts Interdisciplinary AI Conference

India Education Diary  online

2023-03-04

“It was fascinating to talk to all of the outside speakers that are asking very different questions and using very different models,” Yttri said. “Despite some people looking at proteins, RNA or neuroscience, the methods and thought processes we all use are remarkably similar.”

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Spotlight

4 min

Professional sports have always embraced innovation, but today's competitive advantage increasingly comes from science. Researchers are applying advances in neuroscience, artificial intelligence, biomechanics, data analytics, and human performance to better understand how athletes make decisions, respond under pressure, recover from injury, and maximize performance. What once relied heavily on intuition and experience is now being informed by sophisticated research that can measure, predict, and improve outcomes at every level of competition. Recent studies from Carnegie Mellon University highlight the growing role science is playing across the sports landscape. Whether examining decision-making in high-pressure situations, analyzing performance strategies, or using artificial intelligence to improve health outcomes, researchers are uncovering insights that can help athletes perform at their best while extending careers and reducing injury risk. Ron Yurko is an Assistant Teaching Professor in the Department of Statistics & Data Science at Carnegie Mellon University, and the Director of the Carnegie Mellon Sports Analytics Center (CMSAC).  View his profile Scott Powers, an assistant professor at Rice University with vast front-office experience in Major League Baseball—including stints with the Los Angeles Dodgers and the Houston Astros—joined forces with Ron Yurko, a director at the Carnegie Mellon Sports Analytics Center, to analyze this cutting-edge data. Their study, published in The American Statistician in 2026, marks a significant advancement in the quantitative understanding of batting dynamics. It uses high-resolution measurements of bat speed and swing length, metrics that were publicly released for the first time in 2024, to explore how hitters modulate their swings under different pitch counts, particularly when facing two strikes. Eric Yttri is an Associate Professor at Carnegie Mellon University where his research goal is to establish how neural circuits lead to these action selection decisions.  View his profile As a neuroscientist, I have been working to uncover how the brain decides when to act and when to wait. Recent research from my team and me helps explain why this split-second pause happens, offering insight not only into elite athletic performance, but also how people make everyday decisions when the potential outcome isn't clear. We found that the key to hesitation is a response to uncertainty. This could be where a dropped hockey puck will land, when a race starts, or placing your order at a new restaurant. Eni Halilaj is an Associate Professor at Carnegie Mellon University where she directs the CMU Musculoskeletal Biomechanics Lab, an interdisciplinary group of engineers seeking to understand and optimize human movement mechanics. View her profile According to Eni Halilaj, an assistant professor in mechanical engineering at Carnegie Mellon University and biomechanist who specializes in orthopedic rehabilitation, 60 percent of those who suffer this common knee injury also develop osteoarthritis early in life. The degenerative joint disease, which affects an estimated 32.5 million individuals in the U.S., is especially problematic for younger patients because of the longer time span during which the chronic condition can cause debilitating pain, stiffness and limited mobility. "How can we make the 60 percent have the same long-term outcome as the 40 percent?" asked Halilaj, who is working to understand the difference between those who do and those who do not develop osteoarthritis following knee trauma. Matthew Walker is a Professor, Astrophysics & Cosmology at Carnegie Mellon University. His research focuses on the astrophysical properties of dark matter, but he is also a former collegiate D1 baseball player and lifelong, passionate fan staying apprised of advancements in the game. View his profile Carnegie Mellon University physics professor Matthew Walker said the system still has limitations, especially on pitches that are extremely close to the edge of the strike zone. "Every measurement device has a margin of error," Walker said. "ABS is, from what I can tell, somewhere around half an inch -which means if the ABS call says that the pitch was within half an inch of the border between a ball and a strike, whether it says it’s a ball or a strike is really no better than a guess." Walker said that in those situations, the umpire’s original call should remain in place rather than letting the automated system make the final decision. The influence of science in sports extends far beyond professional athletics. Research developed for elite competitors often finds applications in healthcare, rehabilitation, education, workplace performance, and everyday decision-making. As teams continue to invest in analytics, wearable technology, artificial intelligence, and performance science, the relationship between research and sports is expected to grow even stronger. The result is a deeper understanding of how humans learn, adapt, compete, and perform under pressure. If you're covering or looking to know more, we can help! Carnegie Mellon University experts can discuss: The growing role of science and technology in sports Performance optimization and decision-making under pressure Artificial intelligence and data analytics in athletics Injury prevention, rehabilitation, and athlete health The future of sports research and innovation

Eric YttriEni HalilajRon Yurko

Media

Social

Industry Expertise

Advanced Medical Equipment

Education

College of William and Mary

B.S.

Neuroscience

Washington University

Ph.D.

Neuroscience

Articles

The striatal indirect pathway mediates hesitation

Nature Neuroscience

2025

Hesitation—that is, pausing an action in the face of uncertainty—is ubiquitous in daily life, yet little is known about its underlying neural circuitry. We present a new experimental paradigm that reliably evokes hesitation in mice and find that hesitation is mediated by indirect, but not direct, pathway neurons in the dorsomedial striatum. These data establish a new role for the indirect pathway in suppressing action under uncertainty.

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Motor cortex is responsible for motoric dynamics in striatum and the execution of both skilled and unskilled actions

Neuron

2024

Striatum and its predominant input, motor cortex, are responsible for the selection and performance of purposive movement, but how their interaction guides these processes is not understood. To establish its neural and behavioral contributions, we bilaterally lesioned motor cortex and recorded striatal activity and reaching performance daily, capturing the lesion’s direct ramifications within hours of the intervention. We observed reaching impairment and an absence of striatal motoric activity following lesion of motor cortex, but not parietal cortex control lesions.

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Open-source tools for behavioral video analysis: Setup, methods, and best practices

Elife

2023

Recently developed methods for video analysis, especially models for pose estimation and behavior classification, are transforming behavioral quantification to be more precise, scalable, and reproducible in fields such as neuroscience and ethology. These tools overcome long-standing limitations of manual scoring of video frames and traditional ‘center of mass’ tracking algorithms to enable video analysis at scale. The expansion of open-source tools for video acquisition and analysis has led to new experimental approaches to understand behavior. Here, we review currently available open-source tools for video analysis and discuss how to set up these methods for labs new to video recording.

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