We host a monthly Boston Action Club, where prominent scientists from Boston, US and international laboratories share their perspectives on a topic falling under a broad interdisciplinary umbrella of Human Motor Control. The talks engender extensive thought exchange, discussions and new insights.

Spring 2021 Schedule

*Seminars have paused due to the Covid pandemic and will hopefully resume in Fall 2022. If you would like to be on the mailing list to receive information and updates, please fill out this form.

Eric Perreault, Jan 21, 2021 @ 5 PM

Eric Perreault, Jan 21, 2021 @ 5 PM

Biomedical Engineering and Physical Rehabilitation, Northwestern University

Title: The mechanics of human limbs: how they are regulated by the nervous system and how they influence neural control


Abstract: We have an amazing ability to alter the mechanical properties of our limbs. For example, the human nervous system can change the impedance of our arms by nearly three orders of magnitude, depending on whether the task at hand requires a stiff or compliant interface for interacting with our physical environment. Much of this regulation occurs automatically, relying on the intrinsic mechanics of muscles and the subconscious neural pathways contributing to muscle activation. This presentation will review our work on how the mechanics of the human upper and lower limbs are regulated across a variety of tasks, explore the mechanisms contributing to that regulation, and investigate how these properties can be leveraged to simplify the neural control of posture and movement.

Aaron Batista, Feb 11, 2021 @ 5 PM

Aaron Batista, Feb 11, 2021 @ 5 PM

Bioengineering and Neuroscience, University of Pittsburgh

Title: Neural population mechanisms in action

Abstract: the study of motor control in humans is a field with incisive experimental methods, elegant and powerfully explanatory theories, and rich, well-controlled data. And on the other hand, there’s primate neurophysiology. We use far simpler behavioral paradigms and more rudimentary characterizations of behavior, and the advantage that we do have – windows into neural activity – are cloudy and rather small. Thus, it is legitimate to question, “Can insights from neurophysiology change how we think about behavior?” I will attempt to offer two examples of how insights from neurophysiology might yield new perspectives on behavior. First, we will ask, “How can the memories of two separate motor skills peacefully coexist in motor cortex?” and second, “How do internal states affect motor performance and neural population activity?”. 

James Finley, Mar 11, 2021 @ 5 PM

James Finley, Mar 11, 2021 @ 5 PM

Biokinesiology and Physical Therapy, University of Southern California

Title: Neuromechanical Principles of Locomotor Learning: From Adaptation to Rehabilitation

Abstract: Walking is one of the many skills that we learn during development through trial-and-error practice. We eventually gain the ability to not only walk with little effort over flat, unobstructed terrain, but we also learn to adapt our walking pattern to changes in the environment or changes in the body that result from aging or disease. What factors govern the locomotor strategies that we choose during these forms of adaptive learning? Likely candidates include a combination of objectives related to effort, instability, aesthetics, and fear of falling. The relative weighting of these objectives impacts not only how we adapt our walking pattern when features of our environment change, but it also dictates how our preferred movement strategies change when there is damage to the nervous system, as is the case following stroke. I will share results from our recent efforts to understand the trade-offs between two primary objectives in human walking: effort minimization and minimizing fall risk. Through use of empirical studies and biomechanical simulations, I will show that asymmetric walking patterns can, in certain contexts, be considered optimal with respect to effort and balance-related costs for both healthy individuals and people post-stroke. I will conclude by making a case for a more personalized approach to identifying targets for locomotor rehabilitation, one that relies on predictions of optimal movement patterns
given the constraints imposed by the neuromuscular system.


Robert Sainburg, Apr 1, 2021 @ 5 PM

Robert Sainburg, Apr 1, 2021 @ 5 PM

Neurology and Kinesiology, Pennsylvania State University

Title: Bimanual coordination and impaired coordination in stroke


Abstract: Our research on motor lateralization has suggested that the apparent “dominance” of one hand is not simply due to practice, but stems from differences in how each side of the brain controls movement. Motor lateralization indicates that one side of the brain does things that the other side doesn’t, requiring both sides of brain to contribute to the control of each arm.  Our findings have suggested that the dominant hemisphere/hand is best at predictive aspects of executing an accurately aimed and smooth movement, but not so much at responding to unpredictable conditions. The non-dominant hand is very good at countering unpredictable forces, through control of limb impedance, but not so good at making smooth, straight movements. To test our hypothesis that each hemisphere might be specialized for these two aspects of control, we studied individuals who suffered an ischemic stroke in one side of the brain and as a result had severe movement deficits in the opposite arm and hand. While conventional wisdom suggested that the “good hand” would be unaffected by the stroke, our results showed otherwise. In patients with right-hemisphere damage, the right hand did badly on tests of how accurately it could stabilize at the end of a reaching movement, while in patients with left-hemisphere damage, the left hand did badly on making straight and accurately aimed movements. Most importantly, our studies indicated that these hemisphere specific movement deficits in the “good hand” of stroke patients substantially limited their functional independence in patients with severe paresis of their ‘bad hand”.  This is because 1) these patients rely exclusively on their good hand for activities of daily living and 2) Ipsilesional (good hand) deficits vary with the severity of contralesional (bad hand) paresis. Taking these findings into account, we designed and tested an intervention study to improve functional independence by focusing on control and coordination of the ‘good’ hand in stroke patients. Our pilot study (recently published) showed strong positive results that led to a large multi-center intervention study that we are currently conducting. We expect that the results of this study will lead to more comprehensive approaches to rehabilitation that include addressing the hemisphere specific deficits in each hand of stroke patients.

Aude Billard, Apr 29, 2021 @ 12 PM

Aude Billard, Apr 29, 2021 @ 12 PM

Robotics, Swiss Federal Institute of Technology on Lausanne (EPFL)

Title: Human-robot interaction


Abstract: Part 1: Robots have moved from imitating humans to exceeding humans’ capabilities – sometimes: The design of robots’ manipulation capabilities is driven by our admiration for humans’ exquisite dexterity and motor agility. Yet, robots are far from reproducing the complexity of human cognition, for some skills robots do better than humans. Thanks to their powerful motors and the speed of computation of their computer-driven circuits, robots can beat humans in precision and reactivity. This talk will give an overview of several approaches developed at LASA to endow robots with the ability to react extremely rapidly in the face of unexpected changes in the environment, combining control with dynamical systems and machine learning. We use human demonstrations to guide the design of the controller’s parameters to modulate the compliance and to determine the range of feasible paths. A review of these algorithms will be accompanied with illustrations of their implementation for controlling uni-manual and bi-manual manipulation. I will conclude by showing some examples of super-human capabilities for catching objects with a dexterity that exceeds that of human beings.

Part 2: Understanding bimanual skill – a case study in watchmaking: Human dexterity still eludes largely robotics. In an effort to better understand and model this dexterity, we took on an adventure and decided to follow a cohort of apprentices at watchmaking, a craft unique in its requirement for precise control of finger movements. Precise control of force is also of essence to prevent breakage of the tiny, and often highly valuable, pieces. In a two-year long training, apprentice acquire the ability to go beyond their natural perception of touch, so as to sense when the piece clicks and the screw in. Most impressive is the ability with which they acquire unusual but efficient hand postures. Our study unveils how the two hands work in coordination to distribute control variables and achieve better precision than when using a single hand.

Recorded Talks

Past Action Club Schedule

January 16 Kreg Gruben
Mechanical Engineering, University of Wisconsin
“Biomechanics of postural control in healthy and clinical populations”
February 06 Carlos Vargas-Irwin
Neuroscience and BrainGate, Brown University
“Motor Cortex: past, present, and future”
March 05 Gabriel Diaz
Psychology and Neuroscience, Rochester Institute of Technology
“Online and predictive control strategies for guiding gaze and the hand when catching”
March 26 Ben Dongsung Huh (Cancelled due to Covid-19 lockdown)
Massachusetts Institute of Technology and IBM
“Velocity-curvature relation in free movements”
April 16 Daniel Wolpert (Cancelled due to Covid-19 lockdown)
Neuroscience, Columbia University
“Probabilistic Models of Sensorimotor Control and Decision Making”
September 26 Steve Chase
Bioengineering, Carnegie Mellon University
“Dissecting motor learning processes with brain-computer interfaces”
October 17 Steve Collins
Mechanical Engineering, Stanford University
“A discussion of how we design lower-limb exoskeletons and prosthetic devices”
October 31 Paul Dizio
Psychology and Neuroscience, Brandeis University
“Sensorimotor and cognitive processes in real and simulated balancing tasks”
November 21 Alexander Mathis
Rowland Institute, Harvard University
“DeepLabCut: a deep learning tool for fast, robust, and efficient 3D pose estimation”
December 5 Mehrdad Jazayeri
Brain and Cognitive Sciences, MIT
“Understanding control through the lens of cortical latent dynamics”
January 24 Lena Ting
Bioengineering, Emory University
“Revisiting muscle spindle function to understand impaired sensorimotor control”
February 21 Pawan Sinha
Brain and Cognitive Sciences, MIT
“Autism as an impairment in prediction”
March 21 Jon Matthis
Psychology, UT Austin
“The Visual Control of Locomotion over Real-world Rough Terrain”
April 11 William Warren
Psychology, Brown University
“Flocks, Schools, and Crowds: How Multi-Agent Systems Solve the Degrees-of-Freedom Problem”
April 25 Sandeep Robert Datta
Neurobiology, Harvard Medical School
“Inferring Internal from External State Using Motion Sequencing”
May 9 Meghan Huber
Mechanical Engineering, MIT
“Enhancing Acquisition and Performance of Complex Motor Skills”
September 20 Gabe Nelson and Shervin Talebi
Boston Dynamics
“Exploiting dynamics to improve mobility and balance at Boston Dynamics”
October 11 David Lin
Neurology, Massachusetts General Hospital, BrainGate
“Stroke Motor Recovery: Insights from Neural Structure and Function to Inform Health Systems”
October 25 Lisa Barrett
Psychology, Northeastern University
“From essences to predictions: A brain-based understanding of emotion”
November 8 Madhusudhan Venkasedan
Mechanical Engineering, Yale University
“On form and function of feet and fins”
December 13 Cara Lewis and Sandra Shefelbine
Cara: Associate Professor in Physical Therapy, Rehabilitation Science, and Medicine, Boston University
Sandra: Associate Professor in Mechanical Engineering and Bioengineering, Northeastern University
“Hip pain and femoroacetabular impingement syndrome: what?s really happening?”
January 18 Randy Trumbower
Physical Medicine and Rehabilitation, Spaulding
“Acute intermittent hypoxia: a breath-taking approach to restore function after spinal cord injury”
February 15 Karen Adolph
Psychology, New York University
“Learning to move and moving to learn”
Abstract | Video
March 22 Steve Scott
Neuroscience, Queen’s University
“Faster than a blink of an eye: fast feedback processing for voluntary motor control”
April 5 Sangbae Kim
Mechanical Engineering, MIT
“MIT Cheetah robot: a new design paradigm for physical interaction”
April 26 James Monaghan
Neurobiology, Northeastern University
“Neuroplasticity during CNS and limb regeneration in a salamander”
September 21 Ed Large
Psychology, University of Connecticut
“Synchronizing movement to music”
October 5 Andrew Schwartz
Neuroscience, University of Pittsburgh
“Recent progress toward a high-performance brain-computer interface”
October 19 Dagmar Sternad
Biology, Elect & Computer Engineering, Northeastern University
“Variability, stability and predictability in the control of dynamic objects: A task dynamic approach”
November 2 Neville Hogan
Mechanical Engineering and Brain and Cognitive Sciences, MIT
“How do we do it? The paradox of human performance”
November 30 Ludovic Righetti
Mechanical Engineering, NYU and Max Planck Institute Tübingen
“Control of contact interactions in robot locomotion and manipulation”
December 7 L. Mahadevan
Neurobiology and Anatomy, Harvard University
“Error amplification in strategies and decision making”
January 19 Brian Umberger
Kinesiology and Organismic Biology, University of Massachusetts
“Energetics of human locomotion”
February 9 John Peter Whitney
Mechanical Engineering, Northeastern University
“Low-impedance robot mechanics: Notes from human physiology and biomechanics”
March 16 David Vaillancourt
Applied Physiology, University of Florida
“How spatial visual information exacerbates tremor: from brain to motor unit to behavior”
April 6 Simon Giszter
Neurobiology, Drexel University
“Motor modularity: amphibians and mammals after SCI – plasticity versus circuit conservation”
April 21 Manoj Srinivasan
Mechanical Engineering, Ohio State University
“Stability and Control in Human Locomotion”
September 15 Paul Dizio
Psychology and Neuroscience, Brandeis University
“Control and perception of dynamic balance”
October 13 Harry Asada
Mechanical Engineering, MIT
“Humans can control supernumerary limbs independently and simultaneously with their natural limbs”
October 27 David Ostry
Psychology and Neuroscience, McGill University & Haskins Laboratory
“Structure and acquisition of sensorimotor maps”
November 10 Scott Frey
Rehabilitation Sciences, Washington University School of Medicine
“Plasticity in the adult brain: lessons from current and former amputees”
December 1 Joo-Hyun Song
Cognitive, Linguistic and Psychological Sciences, Brown University
“Paradoxical modulation of motor actions by attention”
January 21 Aaron Batista
Bioengineering, University of Pittsburgh
“Learning about learning by directly driving networks of neurons”
February 18 Mario Sznaier
Electrical and Computer Engineering, Northeastern University
“Perception of human movement based on control theory”
March 17 Leia Sterling
Aeronautics and Astronautics, MIT
“Surface electromyography as a control input for human-system interaction”
March 31 Monica Perez
Neurological Surgery, University of Miami
“Neural control of hand movements (transcranial magnetic stimulation)”
April 21 Christopher J Hasson
Physical Therapy, Movement Science, Northeastern University
“In-vivo manipulation of musculo-skeletal properties in humans”


September 24 Robert Ajemian
McGovern Institute, Brain and Cognitive Science, MIT
“Neural networks, noise and motor learning”
October 15 Art Kuo
Mechanical Engineering, University of Michigan
“The (apparently) contradictory costs of human motion and locomotion”
November 12 Eugene Tunik
Physical Therapy, Movement and Rehablitation Sciences, Northeastern University
“New insights into M1 function: Mapping hand representation and visuomotor adaptation”
December 10 Conor Walsh
Wyss Institute, Bioengineering, Harvard University
“Enhancing and restoring mobility with soft wearable robots”


January 23 Jooeun Ahn
Mechanical Engineering, MIT
“A Simple but Adequate Model of Human Walking”
February 13 Vittorio Caggiano
McGovern Institute, Brain and Cognitive Sciences, MIT
“Optogenetics in Motor Control”
March 13 Terry Sanger
Neurology, Biomedical Engineering, University of Southern California
“Risk-Aware Control of Movement”
April 10 Dava Newman
Aeronautics, Astronautics and Engineering Systems, MIT
“Assessing Astronaut Performance across the Spectrum of Gravity”
May 8 Armin Fuchs
Center for Complex Systems & Brain Sciences and Department of Physics Florida Atlantic University
“Diffusion Tensor Imaging in Mild Traumatic Brain Injuries – Acute State and Short-Term Recovery”
May 22 Peter Strick
Neurobiology, University of Pittsburgh
“Neuroanatomy of the Brain – Two Stories:
Basal Ganglia Circuits: Thinking Outside the Traditional ‘Loops’
What is the Neural Basis of the ‘Mind-Body Connection?'”
September 12 Dagmar Sternad
Biology, ECE, Physics, Northeastern University
“Variability and Stability in Skill Learning and Retention”
October 3 Neville Hogan
Mechanical Engineering, Brain and Cognitive Sciences, MIT
“Controlling Physical Interaction”
October 24 Andy Ruina
Mechanical Engineering, Cornell University
“Gilders, Bicycles, and Walking Robots – From Passive Dynamics to Active Control”
November 21 Bence Olveczky
Organismic and Evolutionary Biology, Harvard University
“Functional Modularity in Motor Skill Learning”
December 12 Matthew Goodwin
Health and Computer Science, Northeastern University
“Developing and Applying Wireless Physiological Activity Sensors to Study Individuals with Autism”
January 10 Hermano Igo Krebs
Mechanical Engineering, MIT
“Distinct Robotic Training Protocols Differentially Alter Motor Recovery in Chronic Stroke”
February 7 Brett Fajen and Jonathan Matthis
Cognitive Science, RPI
“Guiding Locomotion in Complex and Dynamic Environments”
February 28 David Paydarfar
Neurology, University of Massachusetts Medical School
Wyss Institute, Harvard University
“Neural Oscillators on the Edge: Harnessing Noise to Promote Stability”
March 21 Frank Guenther
Neuroscience and Biomedical Engineering, BU
“The Neural Mechanisms of Speech: From Computational Modeling to Neural Prosthesis”
April 11 Tamar Flash
Applied Mathematics and Computer Science, Weizmann Institute, Israel
“Motor Planning, Timing, Perception and Coordination: Seeking Common Principles across Tasks and Levels of Representation”
May 23 Alvaro Pascual-Leone
Neurology, Harvard Medical School
“Modulating Brain Networks to Promote Functional Rehabilitation”
September 20 Michael Turvey
Psychology, University of Connecticut
“Human Odometry: Experiments and Theoretical Implications”
October 25 Dan Ferris
Bioengineering, University of Michican
“Robotic Exoskeletons and Mobile Brain Imagings for Human Locomotion”
Novermber 8 Sandro Mussa-Ivaldi
Rehabilitation institute of Chicago, Northwestern University
“Learning to Move and Learning to Push”
December 13 Rob Howe
Harvard School of Engineering and Applied Science
“Why do simple robot grippers work as well as human hands?”
January 12 Eve Marder
Biology, Brandeis University
“A Variability, Homeostasis, and Modulation in a Rhythmic Motor Network”
February 2 CJ Heckman
Rehabilitation Institute of Chicago
“Reverse engineering motor output to identify the detailed structure of motor commands”
February 23 Cara Stepp
Biomedical Engineering, Boston University
“Voluntary Control of Anterior Neck Musculature in Individuals with Dysphagia”
March 15 Heidi Schambra
Neurology, Columbia University
“Transcranial Direct Current Stimulation (tDCS) – A Primer: What it Does, How it Works”
March 29 Mark Shelhamer
Biomedical Engineering, Johns Hopkins University
“Prediction and Adaptation in Saccades, and the Role of Fractal Correlations”
April 12 Daniel Corcos
Neuroscience, University of Illinois at Chicago
“A Comparison of the Effects of Progressive Resistance Exercise and Flexibility and Balance Exercise on Parkinson’s Disease”
June 7 Devin Jindrich
Kinesiology, California State University
“The LIMB Lab: Comparative Biomechanics and Motor Control, with Applications to Ergonomics and Rehabilitation”
August 2 Andrea d’Avella
Laboratory of Neuromotor Physiology, University of Rome
“Muscle Synergies for Motor Control”
September 8 Tamar Flash
Applied Mathematics and Computer Science, Weizmann Institute, Israel
“Motion Planning, perception and compositionality: Time arising from a mixture of geometries”
September 15 Matthew Tresch
Biomedical Engineering, Rehabilitation Institute of Chicago, Northwestern University
“Actions and activations of hindlimb muscles in the rat”
October 6 Edwin Robertson
Neurology, Beth Israel Deaconess Medical Center, Harvard University
“Interference between Different Memory Systems”
October 20 Ed Large
Center of Complex Systems and Brain Sciences and Psychology, Florida Atlantic University
“Resonating to Rhythm”
November 10 Andrew Biewener
Biology, Organismic and Evolutionary Biology, Harvard University
“Assessing in vivo neuromuscular function: implications for control of muscle function across locomotor behaviors”
December 1 Amy Bastian
Neurology, Kennedy Krieger Institute and Johns Hopkins University
“Understanding and Optimizing Human Motor Learning”
December 8 Dinesh Pai
Computer Science, University of British Columbia, Canada
“Computational Models of Sensorimotor Biomechanisms”
January 13 Natalia Dounskaia
Life Sciences, Arizona State University)
“Directional preferences of arm movements: A window to factors influencing formation of multi-joint movements”
February 3 Jack Dennerlein
School of Public Health, Harvard University
“Motor Control in Ergonomics: Applications in Human Computer Interfaces”
February 17 Paul Dizio
Psychology and Neuroscience, Brandeis University
“Coordination of Reaching Movements with Whole-body Motion”
March 10 Andrew Spence
Royal Veterinary College, University of London, England
“Insects on rubber and dogs on springs: Sensing and perturbing moving animals to understand the neuromechanical basis of locomotion”
March 17 Richard Marsh
Biology, Northeastern University
“Preflexes or Reflexes? Mechanisms for maintaining stability on uneven terrain during rapid running”
April 14 Francisco Valero-Cuevas
Biomedical Engineering, University of Southern California
“Computational models as a means to test hypotheses about neuromuscular systems: How far have we come?”
May 19 John Krakauer
Neurology, Johns Hopkins University
“Motor learning: Is it one thing or many different things?”
June 2 Rebecca Spencer
Psychology and Neuroscience, University of Massachusetts at Amherst
“The role of sleep in consolidation of motor learning in young and older adults”
June 30 Avijit Bakshi
Physics and Neuroscience, Brandeis University
“Analysis of Human Balance in Various Force Environments”
September 16 Dagmar Sternad
Biology, ECE, & Physics, Northeastern University
“Variability and stability in interactive tasks: from motor learning to neuro-recovery”
September 30 Tom Roberts
Ecology & Evolutionary Biology, Brown University
“Fast, cheap and out of control: dynamic interactions of elastic structures and muscle motors”
October 14 Marco Santello
Bioengineering, Arizona State University
“Learning and Transfer of Dexterous Manipulation”
November 4 Richard Ivry
Cognitive and Brain Sciences, University of California at Berkeley
“Competitive and Inhibitory Processes during Action Selection”
December 9 Vincent Cheung
Brain and Cognitive Sciences, MIT
“The Top-down and Bottom-up Approaches to Studying Motor Learning”
January 21 Cara Lewis
Physical Therapy, Boston University
“Altering Hip Mechanics during Ambulation”
February 11 John Jeka
Kinesiology, University of Maryland
“Control of Multiple Degrees of Freedom during Human Upright Stance”
March 18 Simon Giszter
Neurobiology and Anatomy, Drexel University
“Rehabilitation of Spinal Cord Injury: Roles of Voluntary and Reflex Trunk Control and Modularity in Spinalized Rats”
March 31 Jim Collins
Biomedical Engineering, Boston University
“Turn Up the Noise: Noise-Enhanced Human Sensorimotor Function”
April 29 Madhu Venkadesan
Engineering & Applied Sciences and Human Evolutionary Biology, Harvard University
“Collisions of Fingers and Feet”
May 13 William Warren
Cognitive and Linguistic Sciences, Brown University
“Behavioral Dynamics of Trajectory Formation in Human Locomotion”
June 3 Robert Ajemian
Brain and Cognitive Science, MIT
“Re-examining the debate about the functional role of motor cortex”
June 22 Paul Gribble & Jeremy Wong
University of Western Ontario
“Sensory Changes Accompanying Motor Learning”
September 3 Ken Holt
Physical Therapy, Boston University
“Learning the Dynamics of Human Walking”
September 24 Joe Perkell
Research Laboratory of Electronics, MIT
“Movement goals and feedback and feedforward control mechanisms in speech production”
October 15 Jean-Jacques Slotine
Mechanical Engineering and Brain and Cognitive Sciences, MIT
“What Robotics may yet Learn from the Brain”
November 5 Simon Giszter
Neurobiology and Anatomy, Drexel University
“The neural basis of motor primitives”
December 3 Daniel Bullock
Cognitive and Neural Systems, Boston University
“Modeling basal ganglia contributions in reward prediction, action selection, and performance”
January 22 Elliot Saltzman
Physical Therapy, Boston University
“Inter-unit Timing in Speech Production: Pattern, Stability, and Hierarchy”
February 12 Joseph Ayers
Biology, Northeastern University
“Controlling Biomimetic Underwater Robots with Electronic Nervous Systems”
March 5 Igo Krebs
Mechanical Engineering, MIT
“Neurorehabilitation and Robotics: What Have We Learned So Far”
March 26 Emilio Bizzi
Brain and Cognitive Science, MIT
“My Take on What We Know and What We Do Not Know about the Vertebrate Motor System”
April 16 Paul Dizio
Psychology, Brandeis University
“Motor adaptations to limb and object dynamics in human arm movements”
May 14 Maurice Smith
Engineering and Applied Science & Center for Brain Science, Harvard University
“Credit Assignment, Time-scales, and Basic Elements in Motor Learning (Understanding of the Nitty-Gritty Details of Motor Learning and its Practical Import)”
June 4 Richard Marsh
Biology, Northeastern University
“Mechanics and Energetics of In Vivo Muscle Function”
July 2 Round Table Discussion on:
“Falsification as Scientific Stragegy in Movement Neuroscience”
with short presentations by:
Neville Hogan, Mechanical Engineering and Brain and Cognitive Science, MIT
Eliot Saltzman, Physical Therapy, Boston University
Richard Marsh, Biology, Northeastern University
Paul DiZio, Psychology and Neuroscience, Brandeis University
Robert Ajemian, Brain and Cognitive Science, MIT
Alex Byrne, Philosophy, MIT

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