The UWIN seminar series resumes for the 2018-19 academic year! The October 2018 UWIN seminar features an exciting pair of short talks by UWIN faculty members Howard Chizeck and Bill Moody:
- “Challenges in Optimizing Deep Brain Stimulation”
Howard Chizeck, Professor, Department of Electrical & Computer Engineering, University of Washington
- “Trans-skull imaging of brain activity in neonatal mice during spontaneous sleep-wake cycles”
Bill Moody, Professor, Department of Biology, University of Washington
The seminar is on Wednesday, October 10, 2018 at 3:30pm in Health Sciences Building (HSB) G-328. Refreshments will be served prior to the talks.
“Challenges in Optimizing Deep Brain Stimulation” (Howard Chizeck):
Deep Brain Stimulation is an approved treatment for Parkinson’s Disease and essential tremor, and is under investigation at various institutions for several other neurological conditions. New devices make it possible to optimally select stimulation parameters for currently approved “open loop” treatments, and to implement closed loop algorithms that adjust stimulation “on the fly,” so as to address tradeoffs between symptom management and side effects. Recent results that we have obtained will be briefly described, and current challenges will be described.
“Trans-skull imaging of brain activity in neonatal mice during spontaneous sleep-wake cycles” (Bill Moody):
Widely propagating waves of electrical activity occur throughout the brain during early development, where they provide long- and short-range synchrony in neuronal activity that helps to establish cortical circuitry. Neuronal activity that is synchronized over large distances also occurs during adult slow-wave sleep and serves a central role in memory consolidation. Using trans-skull optical imaging of brain activity in neonatal mice, combined with power spectral analysis of EMG activity to measure sleep-wake cycles and dimensionality reduction methods to analyze the spatio-temporal patterns of brain activity, we have discovered that pan-cortical waves of activity, which had previously been thought to occur during all behavioral states in the developing brain, are in fact already segregated into sleep cycles by the end of the first postnatal week. Our results suggest that pan-cortical waves of activity in development may establish the long-range neuronal circuitry that is used in adult sleep to consolidate events experienced during wakefulness into long-term memory.
We are proud to announce that John Tuthill, a UWIN faculty member, has won a 2018 McKnight Scholar Award! The McKnight Scholar Awards, administered by the McKnight Endowment Fund for Neuroscience, “encourage neuroscientists in the early stages of their careers to focus on disorders of learning and memory”.
The McKnight Scholar Awards “are granted to young scientists who are in the early stages of establishing their own independent laboratories and research careers and who have demonstrated a commitment to neuroscience. The mission of the Endowment Fund is to support innovative research that can bring science closer to the day when diseases of the brain can be accurately diagnosed, prevented, and treated.”
John Tuthill is one of six researchers awarded a 2018 McKnight Scholar Award. His research is on the topic of “Proprioceptive Feedback Control of Locomotion in Drosophila”: “Proprioception–the body’s sense of self-movement and position–is critical, for the effective control of movement, yet little is known about how the brain’s motor circuits integrate this feedback to guide future movements. Dr. Tuthill’s lab is working to unlock the essence of motor learning in the brain by investigating how walking fruit flies learn to avoid obstacles and navigate unpredictable environments, assessing the role of sensory feedback in motor control by optogenetically manipulating proprioceptor activity. A deeper understanding of proprioceptive feedback control has the potential to transform the way in which we understand and treat movement disorders.”
Previously, Dr. Tuthill was named a 2017 Allen Institute Next Generation Leader, awarded a Sloan Fellowship, named a 2017 Searle Scholar, and received a UW Innovation Award.
Please welcome UWIN’s newest postdoctoral fellows! Four outstanding researchers have been awarded 2018 UWIN Postdoctoral Fellowships, providing two years of support for their neuroengineering research at the University of Washington. Their exciting work ranges from neural implants to spinal cord stimulation to improving language learning, and two of them are co-supported by the Center for Sensorimotor Neural Engineering. The fellows will be starting their positions throughout the summer and fall of 2018. You can read their exceptional biographies below, and follow the link to see all of UWIN’s current and emeritus postdoctoral fellows.
||Laura Arjona works in collaboration with Joshua R. Smith in Electrical Engineering and Chet Moritz in Rehabilitation Medicine. Laura’s research focuses on high performance readers and protocols for backscatter-based neural implants. Neural implants have the potential for significant impact in medicine, from restoring the use of limbs after spinal cord injury, to “electroceutical” alternatives to drugs, to brain-computer interfaces. Laura will be developing technology that will enable higher performance data transfer, as well as low latency bi-directional communication, which is essential for high-performance control of the nervous system. Laura will soon hold a doctoral degree in Engineering for the Information Society and Sustainable Development from the University of Deusto in Bilbao, Spain. She received a master’s degree in Information and Communication Electronic Systems from UNED University in Madrid, and a bachelor’s degree in Telecommunications Engineering from the University of Granada. Laura was awarded a specialization fellowship from the University of Deusto, and a Researcher Staff Training fellowship from the Basque Country Government. She is co-funded by UWIN and the Center for Sensorimotor Neural Engineering.
||Kinsey Bice works in collaboration with Chantel Prat in Psychology and Rajesh Rao in Computer Science and Engineering. Kinsey’s research aims to optimize language learning by identifying how to direct brain activity into the best state for learning. Using EEG and machine learning techniques, her project will provide insight into the functional correlates and flexibility of the brain’s activity at rest, and will help in developing software and technologies that could make it easier for adults to learn new languages. Kinsey received her doctoral degree from Pennsylvania State University in Psychology with a dual-title in Language Sciences and a Specialization in Cognitive and Affective Neuroscience, and her Bachelor’s degree in Psychology and Spanish from the University of Wisconsin-Madison.
||Lylah Deady works in collaboration with John Tuthill in Physiology & Biophysics and Andre Berndt in Bioengineering. Lylah’s research seeks to design and implement genetically encoded tools to query neuronal circuitry in real time. Her work at UW concerns developing a sensor to report neuronal inhibition and use it to identify the role of GABAergic input in Drosophila leg proprioceptive circuits. Lylah received her doctoral degree in Physiology & Neurobiology from the University of Connecticut.
||Allie Widman works in collaboration with Steve Perlmutter and Adrienne Fairhall in Physiology and Biophysics. Allie’s research aims to understand how targeted activity-dependent spinal stimulation, a potential treatment for spinal cord injury, alters neuronal circuits to improve forelimb function. Through a brain-computer interface, this stimulation protocol induces plasticity based on precise timing of neural activity. The focus of her study is to identify the time course and specificity of this spike-timing-dependent plasticity in descending and somatosensory pathways using neurophysiology and modeling experiments. Allie received a doctoral degree in Neuroscience from the University of Alabama at Birmingham and a bachelor’s degree in Neuroscience from the University of Texas at Dallas. In addition to being named a WRF Innovation Postdoctoral Fellow, her awards include fellowships from the Howard Hughes Medical Institute and the National Institutes of Health. She is co-funded by UWIN and the Center for Sensorimotor Neural Engineering.
Applications are now open for the 2018 WRF Innovation Undergraduate and Post-baccalaureate Fellowships in Neuroengineering. Applications are due by Tuesday, March 6th, 2018.
These fellowships provide up to $6000 to support undergraduate and post-baccalaureate researchers committed to working in UWIN faculty labs. More information about applying for these fellowships can be found in the links below:
Registration is open for the 2018 Neural Computation and Engineering Connection (NCEC)! It will be held on the afternoon of Thursday, January 18, 2018 and all day Friday, January 19, 2018. NCEC brings together the UW neuroengineering and computational neuroscience communities in an exciting and stimulating event!
NCEC 2018 features many superb keynote speakers: Allison Okamura (Stanford), Loren Frank (UC San Francisco), Vivian Mushahwar (University of Alberta), Takaki Komiyama (UC San Diego), Ila Fiete (UT Austin) and David Reinkensmeyer (UC Irvine). Local speakers include: Sheri Mizumori (Psychology), Amy Orsborn (Electrical Engineering/Bioengineering), Azadeh Yazdan (Bioengineering/Electrical Engineering), Nino Ramirez (Seattle Children’s Research Institute). UWIN and Computational Neuroscience graduate and postdoctoral fellows will also be giving talks.
**Registration is free but required. Please register at: https://goo.gl/forms/UqdiCv9CX4ftrrKw1.
Registration closes on Monday, January 8th.**
A general schedule is available at: http://uwin.washington.edu/ncec/, and a detailed schedule will be available closer to the event. Thursday’s daytime events will be at the CSNE (Russell Hall Suite 204, 1414 NE 42nd St.). Thursday evening will end with a launch event and reception in the Health Sciences Building for the new UW Computational Neuroscience Center. Friday’s events will be at the Husky Union Building (HUB) room 250, with an evening reception in HUB 145.
We are excited to announce that two UWIN faculty members, Andre Berndt and John Tuthill, have been named as 2017 Allen Institute for Brain Science Next Generation Leaders! The Allen Institute’s Next Generation Leaders are “distinguished early-career researchers who will provide feedback in both formal and informal settings to scientists at the Allen Institute”.
“We are very pleased to welcome this group of impressive researchers as advisors to the Allen Institute,” says Christof Koch, President and Chief Scientific Officer of the Allen Institute for Brain Science. “Their caliber and fresh perspectives make them invaluable to our team. We look forward to hearing their feedback as well as providing guidance as they build their own careers.”
According to the Allen Institute, “Next Generation Leaders are selected each year through a competitive application process from a pool of international applicants.” Six researchers were appointed in the 2017 cohort; only two of the six are from the University of Washington, and both of those are UWIN faculty members! This is the first time University of Washington faculty have been named Allen Institute Next Generation Leaders.
Earlier this year, Dr. Tuthill was also awarded a Sloan Fellowship, named a 2017 Searle Scholar, and received a UW Innovation Award.
You can read more at the Allen Institute press release, as well as see the biographies of Drs. Berndt and Tuthill.
Applications are open for UWIN’s 2018 WRF Innovation Postdoctoral Fellowships in Neuroengineering. These highly selective fellowships fund research in computational and engineering approaches to neuroscience; joint mentoring between faculty in different disciplines is strongly encouraged.
The fellowships provide two years of funding including a $65,000 annual salary and a $25,000 research stipend.
Applications are due by January 16, 2018. Please see http://uwin.washington.edu/post-docs/ for more information.
We are pleased to announce the seven exceptional University of Washington graduate students have been awarded 2017 Washington Research Foundation Innovation Graduate Fellowships in Neuroengineering: Aaron D. Garcia (Neuroscience), Vaishnavi Ranganathan (Electrical Engineering), Soshi Samejima (Rehabilitation Science), Raymond Sanchez (Neuroscience), Mohammad Tariq (Neuroscience), Momona Yamagami (Electrical Engineering), and Ezgi Yücel (Psychology). Read about the new fellows and their exciting, innovative research below:
||Aaron D. Garcia is a Ph.D. student in the Neuroscience program advised by Bing Brunton in Biology and Elizabeth Buffalo in Physiology and Biophysics. Aaron’s research centers on identifying brain activity in the hippocampus and surrounding structures used during navigation and memory tasks. His approach involves applying empirical mode decomposition in tandem with Hilbert Spectral Analysis to local-field-potential data recorded from high-density micro-drives. Aaron received a bachelor’s degree in neuroscience from Boston University. He is a joint fellow of UWIN and the Computational Neuroscience Training Grant.
||Vaishnavi Ranganathan is a Ph.D. student in Electrical Engineering working with Josh Smith in the Sensor Systems Lab. Vaishnavi’s research interests include fully wireless wearable devices and implantable neural interfaces for treatment and rehabilitation in patients with spinal cord injury. Specifically, she works on wireless power transfer and power-aware computation for implantable devices to remove the need for batteries and enable autonomous operation. Vaishnavi received a master’s degree in Electrical Engineering from Case Western Reserve University and completed her bachelor’s degree at Amrita University in India.
||Soshi Samejima is a Ph.D. student in Rehabilitation Science working with Chet Moritz in Rehabilitation Medicine and Rajiv Saigal in Neurological Surgery. Soshi’s research focuses on restoring mobility and leg/arm function for people with spinal cord injury by using electrical spinal stimulation and rehabilitation through neural interfaces and robotics. For the last 10 years, Soshi worked as a physical therapist. He received a clinical doctoral degree in physical therapy from MGH institute of Health Professions, a master’s degree in Biomedical Science and Athletic Training from Thomas Jefferson University and Texas Tech University respectively, and a bachelor’s degree in Health Science from Kanazawa University, Japan. He is co-funded by UWIN and the Center for Sensorimotor Neural Engineering.
||Raymond Sanchez is a Ph.D. student in the Neuroscience program working in the lab of Horacio de la Iglesia in Biology. Raymond is interested in the neural circuits regulating sleep and circadian rhythms, and their relationship to neurological and psychiatric diseases. The goal of his research is to develop and validate a closed-loop system for real-time manipulations of sleep and seizures in a genetic mouse model of Dravet syndrome, a severe form of childhood epilepsy accompanied by sleep disturbances. This system will serve as an open-source experimental tool for researchers interested in the interactions between sleep and disease, and inform the development of novel therapeutic devices for Dravet and other epileptic syndromes. Raymond received a bachelor’s degree in Neuroscience & Cognitive Science from the University of Arizona.
||Mohammad F. Tariq is a PhD student in the Neuroscience program working in the labs of David Gire in Psychology and David Perkel in Biology and Otolaryngology. His work focuses on understanding how olfactory cues in the environment guide memory formation and decision-making. He uses electrophysiology and imaging from freely behaving animals to study the network and physiological mechanisms that allow olfactory information to make robust memories of the environment. Mohammad received his bachelor’s degree in Neuroscience from the Georgia State University.
||Momona Yamagami is a graduate student in Electrical Engineering working with Kat Steele in Mechanical Engineering and Sam Burden in Electrical Engineering. In her research, Momona uses a computer trajectory-tracking task to quantify and predict motor planning impairments in children with cerebral palsy. She is broadly interested in understanding how humans learn different control models to plan their movements. Momona received her bachelor’s degree in Bioengineering from Rice University in Houston, Texas.
||Ezgi Irmak Yücel is a graduate student in Psychology, where she is a member of the Vision and Cognition Group working with Ione Fine in Psychology and Ariel Rokem at the eScience Institute. Ezgi’s research broadly focuses on visual perception and restorative technologies for blindness. Her current project aims to validate a retinal model of restored vision developed by UWIN postdoctoral fellow Michael Beyeler. She will use psychophysical methods to accomplish this, with the eventual goal of optimizing stimulation protocols for retinal prosthetics to improve visual outcomes. She received her bachelor’s degree in Psychology with a minor in Philosophy from Bilkent University in Turkey.
The November 2017 UWIN seminar features a fascinating pair of short talks by UWIN faculty members Sawyer Fuller and Wyeth Bair:
- “Fly-inspired visual flight control of insect-sized robots using wind sensing”
Sawyer Fuller, Assistant Professor, Department of Mechanical Engineering, University of Washington
- “Comparing shape representation in mid-level visual cortex to that in a deep convolutional neural network”
Wyeth Bair, Associate Professor, Department of Biological Structure, University of Washington
The seminar is on Wednesday, November 8th, 2017 at 3:30pm in Husky Union Building (HUB) 337. Refreshments will be served prior to the talks.
“Fly-inspired visual flight control of insect-sized robots using wind sensing” (Sawyer Fuller):
In the Autonomous Insect Robotics Laboratory at the University of Washington, one of the projects we are interested in is how to give robots the size of a honeybee the ability to fly themselves autonomously. Larger drones can now do this task, but they use sensors that are not available in insect-sized packages, like the global positioning system and laser rangefinders. We are left with sight, the same modality used by flies. But visual processing is typically computationally intensive. I will describe research I performed on flies that reveals that they overcome this by combining slow feedback from vision with fast wind feedback, and discuss ramifications for our robots.
“Comparing shape representation in mid-level visual cortex to that in a deep convolutional neural network” (Wyeth Bair):
Convolutional neural nets (CNNs) are currently the best performing general purpose image recognition computer algorithms. Their design is hierarchical, not unlike the neural architecture of the ventral visual pathway in the primate brain, which underlies form perception and object recognition. We examined whether units within an implementation of “AlexNet” (Krizhevsky et al., 2012), following extensive supervised training, end up showing selectivity for the boundary curvature of simple objects in an object-centered coordinate system, similar to that found for neurons in the mid-level cortical area V4 (Pasupathy and Connor, 2001). I will show how the units in AlexNet compare to those in V4 in terms of shape-tuning and translation invariance and will discuss the benefits and limitations of comparing complex artificial neural networks to the brain.