Eric Trautmann, PhD
Grossman Fellow
Eric Trautmann studies the neurological basis of skilled movement control with an eye towards developing clinical brain computer interfaces to help patients with a range of neurological disorders and diseases. A key part of his work is to develop novel technologies to enable ultra large-scale recording with single-neuron resolution in nonhuman primates and in human patients. This is the fourth year Eric has been named a Grossman Fellow. He joined the Zuckerman Institute in 2019.

Can you share a few highlights/developments from your research from the past year?
What are your latest research goals and how do you see the Grossman Center continuing to help you grow as a Grossman Fellow?
How is the Grossman Center continuing to help guide and shape the future of cognitive neuroscience, particularly through research with non-human primates, to better understand human cognition, perception and behavior?
The Grossman Center is constantly elevating and encouraging close collaborations among theorists, statisticians, and experimentalists. Can you share how this special environment continues to benefit your work?
Is there anything else you would like to share with Naava and Sandy Grossman?
Do you have a message you would like to share with Sandy and Naava Grossman?
Is there anything else you would like to share with Naava and Sandy Grossman?
The last four years have been an incredible pleasure. I consider it to be an incredible privilege to have been able to do the work that I did here at Columbia with Mark Churchland, Mike Shadlen, and Daniel Wolpert. I have gotten to see this work impact a number of other researchers, and the consistent support of the Grossman Center throughout my training enabled me to take on ambitious and risky projects that didn’t cleanly fall under the purview of any ongoing grant-funded work. I deeply appreciate their support throughout this period and hope they can see just how impactful their generous contributions have been to the field of nonhuman primate neuroscience.
Can you share a few highlights/developments from your research from the past year?
There are two research developments in the last year that I am particularly excited about. Over the past several years, I have continued to develop and refine a system for recording larger populations of neurons from multiple targets in a rhesus macaque brain using high-density silicon probes. The paper detailing this technology is available now in preprint and is in review at Nature Neuroscience. The system I developed for simultaneous multi-area recordings is now being used by a number of other labs and researchers around the world. I have worked to help a number of colleagues get up and running to perform their own experiments using this technology, and it’s proven safe and effective for radically scaling up the number of neurons that we can simultaneously record – ultimately enabling new classes of science. I am also working with external collaborators to transition a similar approach for use with clinical patients, which we believe will mark a sea-change in how we’re able to approach neuroscientific questions with appropriate scale, rigor, and complexity.
Second, using this technology, I have discovered a mechanism by which I believe we can explain how the primate brain is able to learn a large repertoire of distinct motor skills. In short, I found that when monkeys are trained to perform the exact same movements in a task where they must respond to errors differently in different contexts, the neural dynamics in motor cortex driving this behavior are totally distinct. This is surprising, however, because the movements are identical in the two contexts. These results suggest that the motor cortex may use a vastly different mechanism for learning different skills than we previously thought.

Figure 1 - Rendering of the high-density insertion system. This configuration is capable of inserting eight Neuropixels-NHP v1.0 probes, for a total of 3072 simultaneous recording channels.
What are your latest research goals and how do you see the Grossman Center continuing to help you grow as a Grossman Fellow?
I’m driven to continue developing novel technologies to accelerate neuroscience and share these to enable other scientists to do their work more effectively. In the near term, this means I have two goals: 1) to disseminate the technologies for ultra large-scale neural recording in primates, and 2) to translate this technology for multi-day recording in human patients. I’ve begun work in both directions, by building an open-source repository for disseminating designs for nonhuman primate recording systems and working directly with a number of individual researchers. Here at Columbia, I’ve helped Saurabh Vyas and Roberto Gulli implement their experiments. Using this approach, they have been able to collect data that would have never been possible even a year or two ago, to address fundamental questions that address neural mechanisms of planning, cognition, spatial navigation, and motor control.
Beginning next year, I will take a new role as an adjunct professor of Neurosurgery at UC Davis, working with Dr. Sergey Stavisky and Dr. David Brandman of the UC Davis Neuroprosthetics Lab. Collectively, the three of us are working to enable ultra-large scale recording in the epilepsy monitoring unit at the UC Davis hospital. Patients there are routinely implanted with stereo EEG (sEEG) probes for the purpose of localizing epileptic seizures. We aim to replace these sEEG probes, which currently have only a few low bandwidth channels, with a novel human-optimized Neuropixels probe with the capability of recording three thousand neurons at single-cell resolution. If successful, this will enable us to improve clinical practice for epilepsy localization, while also performing complex experiments at scale and resolution previously impossible in people.
The support from the Grossman Center has made it possible to pursue the combination of technology development and scientific discovery, which is unique, as few funding agencies are interested or willing to support the type of engineering required to bring these systems to fruition. In addition to the crucial financial support, the Grossman Center has provided a uniquely multi-talented group of scientific peers at Columbia, allowing my scientific work to obtain input from theoretical neuroscientists, other experimentalists, and a range of colleagues brought together by the Grossman Center.
How is the Grossman Center continuing to help guide and shape the future of cognitive neuroscience, particularly through research with non-human primates, to better understand human cognition, perception and behavior?
The field of nonhuman primate neuroscience has historically been challenged by the lack of advanced tools that neuroscientists who are working with rodents and other smaller model organisms have access to. By funding this collaborative work to revolutionize the methods and techniques for NHP research, the Grossman Center is altering the landscape of the types of scientific questions we can feasibly address. Experiments that used to be impractical or untenable have become so easy that we can complete them in several days. What used to take months or years we can now do in a few sessions. That has enabled us to become far more ambitious and focus on interesting behaviors, and riskier questions that might not work out since the iteration time has become so much faster. We are just starting to see the rest of the NHP experimental world begin to adopt these techniques now, and I anticipate that in the next few years, a deluge of interesting scientific breakthroughs will follow.
The Grossman Center is constantly elevating and encouraging close collaborations among theorists, statisticians, and experimentalists. Can you share how this special environment continues to benefit your work?
Without theory, our neuroscientific data has little value. Columbia and the Grossman Center represent a uniquely effective pairing of experimentalists and theoreticians. My recent scientific work required a combination of dynamical system theory, innovations in neurosurgical techniques, and novel technologies. Collectively, this is more academic and intellectual breadth than any one scientist can bring to the table. The Grossman Center supported a uniquely interdisciplinary and diverse group of researchers to work on a collaboration that is hard to imagine happening at many other universities.
Collaborating closely with theoreticians has expanded the scope of the types of scientific questions I’m able to pursue and provided a foundation for developing new classes of experiments built around quantitative goals. By supporting a diverse community spanning experimental and theoretical disciplines, the Grossman Center enables uniquely effective collaborations. None of this could have happened if I were working within the confines of a traditional, and primarily experimentally focused program or department.
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