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 2023 Schedule

All seminars are held in-person on Thursdays every three weeks at 4-5:30 pm.

The location is 306 Egan building at Northeastern University.

If you would like to be on the mailing list to receive information and updates, send an email to d.sternad@northeastern.edu.

Adrian Haith, Feb. 2nd, 2023 @ 4 PM

Adrian Haith, Feb. 2nd, 2023 @ 4 PM

Neurology, Johns Hopkins University

Title: The development of automaticity in motor skill learning 

Abstract: The concept of automaticity is widely discussed across domains from psychology to sports science to rehabilitation and is considered a crucial milestone in learning continuous skills like driving, skiing, or performing surgery. However, most research on automaticity has focused on skills that involve discrete key presses and there is relatively little empirical evidence regarding how and when continuous skills become automatic. I will present experiments in which we probed the development of multiple facets of automaticity as participants learned a challenging, continuous motor skill over multiple days of practice. Our results show that automaticity is attained very early on in the course of learning – contrary to existing views which suggest that skills become automatic only once they are overlearned.

Max Shepherd, Feb. 16th, 2023 @ 4PM

Max Shepherd, Feb. 16th, 2023 @ 4PM

Mechanical Engineering and Physical Therapy, Northeastern University

Title: Advancing the design and control of assistive robotics: Incorporating patient and clinician preferences 

Abstract: On paper, lower-extremity prosthetics and exoskeletons have improved greatly in the last decade; prosthetic knees employing ML-based intent recognition have enabled step-over-step stair traversal, untethered exoskeletons have reduced the metabolic cost of walking and running, and high-power exoskeletons have enabled people with spinal cord injuries to walk again. However, few of these advanced devices have made a true clinical impact. I posit that critical information is missing from the design and prescription processes: a robust, scientific understanding of the patient as the ultimate arbiter of optimal device performance. The overall goal of my past and future research is to advance the design, control, and prescription of prosthetics and exoskeletons, with a particular focus on better understanding patient perception of their assistive devices.

David Paydarfar, March 2nd, 2023 @ 5PM

David Paydarfar, March 2nd, 2023 @ 5PM

Neurology, University of Texas Austin

Title: Oscillopathies of Neural Control Mechanisms: Lessons From Computational Medicine

Abstract: Abnormal oscillations are implicated in many disease states that affect the function of neurons and neural circuits. Biological oscillations are also vital to many physiological functions. Paydarfar will present and discuss theoretical, experimental, and clinical observations on the initiation and termination of rhythms at the neuronal, tissue and organismic levels of the nervous system. Examples will include rhythmic discharges of neurons in epilepsy, reentrant excitation of cardiac conduction pathways in the diseased heart, episodic severe apnea, bradycardia, and hypoxia in preterm infants. Mathematical and computational methods can provide important insights into the etiology, prevention and treatment of oscillopathies.


Ed Large, March 23, 2023 @ 4PM

Ed Large, March 23, 2023 @ 4PM

Psychology, University of Connecticut

Title: Universality of integer ratio biases in rhythmic movements 

Abstract: I will describe a current study in which we examine the human preference for small integer ratios in auditory rhythm perception and reproduction. Research suggests that integer ratios are universal features of rhythm, however specific rhythmic patterning is not fixed by biology, but is influenced by cultural listening experiences (Jacoby & McDermott, 2017). Previous models use probabilistic learning methods to estimate the likelihood of specific rhythmic ratios in sets of training stimuli. However, such statistical methods do not display any intrinsic bias toward integer ratios; they can internalize rhythmic priors that generate any arbitrary sequence of temporal intervals. The aims of this study are 1) to develop a model of Hebbian learning in oscillatory neural networks that learn rhythmic patterns, and 2) to explore potential physiological constraints on learning that would result in a preference for small integer interval ratios. We have developed a model that can internalize both the strengths and phases of internal connections, and by positing physiological constraints on the learned connections, it displays an intrinsic bias toward integer ratios. The model can also explain how cultural listening experiences influence the specific rhythmic patterns humans prefer. This suggests that the human preference for small integer ratios in auditory rhythm learning is in part based on physiological constraints on learning. The proposed model may help in understanding the neural mechanisms underlying rhythm perception, and how neural mechanisms can be influenced by cultural factors.

Alireza Ramezani, April 13th, 2023 @ 4PM

Alireza Ramezani, April 13th, 2023 @ 4PM

Electrical and Computer Engineering, Institute for Experiential Robotics, Northeastern University

Title: Bioinspired robot locomotion through morphology (structure) and control co-design

Abstract: I will describe the challenges facing the design and control of two classes of locomotion systems: 1) hybrid, multi-modal systems and 2) small locomotion systems that dynamically interact with their environment. Robot morphology (structure) and locomotion control co-design is the backbone idea to address these challenges. Hybrid, multi-modal models must accommodate multiple mobility styles, including legged, aerial, and wheeled locomotion, in a single platform. These forms of mobility dictate conflicting requirements that make robot hardware design and control very challenging. For instance, the payload can negatively affect flight performance in aerial systems; in legged robots, high-torque actuators, which are bulky, are required to substantiate dynamic locomotion; aerial flight dynamics are nonlinear and continuous, whereas legged systems are switching nonlinear systems that intermittently interact with their environment. The second class of robots, small locomotion systems that dynamically interact with their environment, introduce challenges of a different nature. These systems are multi-joint with many passive and active coordinates. As a result, control design and actuation become very challenging due to prohibitive design restrictions such as limited computation resources, payload, power budget, etc. This talk will introduce examples from each type of mobility system that my group designed and briefly reports the hardware design paradigms and control approaches employed.

Paul Cisek, May 4th, 2023 @ 4PM

Paul Cisek, May 4th, 2023 @ 4PM

Neuroscience, University of Montreal, Canada

Title: Neural mechanisms of interactive behavior

Abstract: In psychology and neuroscience, behavior is often described as a serial process of encoding sensory information to build knowledge about the world, followed by cognitive mechanisms of knowledge manipulation and decision-making, followed by the planning and execution of movements. This view leads to a decomposition of brain functions into putative information processing systems for object recognition, memory, decision-making, action planning, etc., inspiring the search for the neural correlates of these processes. However, neurophysiological data does not support many of the predictions of these classic subdivisions. Instead, there is divergence and broad distribution of functions that should be unified, mixed representations combining functions that should be distinct, and a general incompatibility with the conceptual subdivisions posited by theories of information processing. In this talk, I will explore the possibility of resynthesizing a different set of functional subdivisions, guided by the growing body of data on the evolutionary process that produced the human brain. I will summarize, in chronological order, a proposed sequence of innovations that appeared in nervous systems along the lineage that leads from the earliest multicellular animals to humans. Along the way, functional subdivisions and elaborations will be introduced in parallel with the neural specializations that made them possible, gradually building up an alternative conceptual taxonomy of brain functions. These functions emphasize real-time, closed-loop interaction with the world, rather than for building explicit knowledge of the world, and the relevant representations emphasize pragmatic outcomes rather than decoding accuracy, mixing variables in the way seen in real neural data. I suggest that this alternative taxonomy may better delineate the real functional pieces into which the human brain is organized, and can offer a more natural mapping between behavior and neural mechanisms. As an example, I will discuss some recent results from neurophysiological studies of how the primate brain deliberates about and commits to voluntary actions.

Recorded Talks

Past Action Club Schedule

September 22  Dagmar Sternad 
Biology, Electrical Engineering and Physics, Northeastern University
“From simple to complex to real skills: A task-dynamic approach to motor control with clinical applications”
October 20 Seungmoon Song
Mechanical Engineering, Northeastern University
“Neuromechanical simulation of human locomotion – and its potential usage in developing assistive devices”
November 10 Nidhi Seethapathi
Brain and Cognitive Sciences, MIT
“A theoretical framework for locomotor adaptation across timescales”
December 1 David Lin
Neurology, Massachusetts General Hospital and Harvard University
“Neurologic perspectives on motor control after stroke”


January 21 Eric Perreault
Biomedical Engineering and Physical Rehabilitation, Northwestern University
“The mechanics of human limbs: how they are regulated by the nervous system and how they influence neural control”
February 11 Aaron Batista
Bioengineering and Neuroscience, University of Pittsburgh
“Neural population mechanisms in action”
March 11 James Finley
Biokinesiology and Physical Therapy, University of Southern California
“Neuromechanical Principles of Locomotor Learning: From Adaptation to Rehabilitation”
April 1 Robert Sainburg
Neurology and Kinesiology, Pennsylvania State University
“Bimanual coordination and impaired coordination in stroke”
April 29 Aude Billard
Robotics, Swiss Federal Institute of Technology on Lausanne (EPFL)
“Human-robot interaction”
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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