Highlights from the 2017 meeting of the Society for Neural Control of Movement (Dublin, Ireland)

Juan Alvaro Gallego,* Robert M. Hardwick* and Emily R. Oby* Neural and Cognitive Engineering Group, Centre for Automation and Robotics CSIC-UPM, Madrid, Spain Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA Department of Neurology, Johns Hopkins University, Baltimore, MD, USA Movement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15213, USA

[1]  E. Capaldi,et al.  The organization of behavior. , 1992, Journal of applied behavior analysis.

[2]  A. Hough Pride and a Daily Marathon , 1992 .

[3]  E. Sedgwick,et al.  The perceptions of force and of movement in a man without large myelinated sensory afferents below the neck. , 1992, The Journal of physiology.

[4]  F. A. Mussa-lvaldi,et al.  Convergent force fields organized in the frog's spinal cord , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[5]  F A Mussa-Ivaldi,et al.  Adaptive representation of dynamics during learning of a motor task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[6]  N Teasdale,et al.  Gait of a deafferented subject without large myelinated sensory fibers below the neck , 1996, Neurology.

[7]  R. Romo,et al.  Neuronal correlates of parametric working memory in the prefrontal cortex , 1999, Nature.

[8]  John W. Krakauer,et al.  Independent learning of internal models for kinematic and dynamic control of reaching , 1999, Nature Neuroscience.

[9]  C Ghez,et al.  Learning of Visuomotor Transformations for Vectorial Planning of Reaching Trajectories , 2000, The Journal of Neuroscience.

[10]  V. Jayaraman,et al.  Intensity versus Identity Coding in an Olfactory System , 2003, Neuron.

[11]  J. Kalaska,et al.  Differential relation of discharge in primary motor cortex and premotor cortex to movements versus actively maintained postures during a reaching task , 1996, Experimental Brain Research.

[12]  J. Kalaska,et al.  Motor cortex neural correlates of output kinematics and kinetics during isometric-force and arm-reaching tasks. , 2005, Journal of neurophysiology.

[13]  R. Miall,et al.  Evidence for stronger visuo-motor than visuo-proprioceptive conflict during mirror drawing performed by a deafferented subject and control subjects , 2006, Experimental Brain Research.

[14]  S. Gandevia,et al.  Motor commands contribute to human position sense , 2006, The Journal of physiology.

[15]  M. Kawato,et al.  Visual Feedback Is Not Necessary for the Learning of Novel Dynamics , 2007, PloS one.

[16]  R. Lemon Descending pathways in motor control. , 2008, Annual review of neuroscience.

[17]  P. Strick,et al.  Subdivisions of primary motor cortex based on cortico-motoneuronal cells , 2009, Proceedings of the National Academy of Sciences.

[18]  John W Krakauer,et al.  Adaptation to visuomotor rotation through interaction between posterior parietal and motor cortical areas. , 2009, Journal of neurophysiology.

[19]  Christophe Bourdin,et al.  Force-field adaptation without proprioception: Can vision be used to model limb dynamics? , 2010, Neuropsychologia.

[20]  S. Scott,et al.  Quantitative Assessment of Limb Position Sense Following Stroke , 2010, Neurorehabilitation and neural repair.

[21]  S. Gandevia,et al.  Proprioceptive signals contribute to the sense of body ownership , 2011, The Journal of physiology.

[22]  Kathleen E. Cullen,et al.  The vestibular system: multimodal integration and encoding of self-motion for motor control , 2012, Trends in Neurosciences.

[23]  Uri Shalit,et al.  Descending systems translate transient cortical commands into a sustained muscle activation signal. , 2012, Cerebral cortex.

[24]  Jonas B. Zimmermann,et al.  Neural interfaces for the brain and spinal cord—restoring motor function , 2012, Nature Reviews Neurology.

[25]  Stuart N. Baker,et al.  Changes in descending motor pathway connectivity after corticospinal tract lesion in macaque monkey , 2012, Brain : a journal of neurology.

[26]  Matthew T. Kaufman,et al.  Neural population dynamics during reaching , 2012, Nature.

[27]  Y. Prut,et al.  Functional Organization of Information Flow in the Corticospinal Pathway , 2013, The Journal of Neuroscience.

[28]  M. Sahani,et al.  Cortical control of arm movements: a dynamical systems perspective. , 2013, Annual review of neuroscience.

[29]  S. Gandevia,et al.  Is this my finger? Proprioceptive illusions of body ownership and representation , 2013, The Journal of physiology.

[30]  L. Miller,et al.  Restoring sensorimotor function through intracortical interfaces: progress and looming challenges , 2014, Nature Reviews Neuroscience.

[31]  Thomas M. Hall,et al.  A Common Structure Underlies Low-Frequency Cortical Dynamics in Movement, Sleep, and Sedation , 2014, Neuron.

[32]  Byron M. Yu,et al.  Dimensionality reduction for large-scale neural recordings , 2014, Nature Neuroscience.

[33]  Matthew T. Kaufman,et al.  Supplementary materials for : Cortical activity in the null space : permitting preparation without movement , 2014 .

[34]  Byron M. Yu,et al.  Neural constraints on learning , 2014, Nature.

[35]  Jennifer A. Semrau,et al.  Examining Differences in Patterns of Sensory and Motor Recovery After Stroke With Robotics , 2015, Stroke.

[36]  Joseph E O'Doherty,et al.  A learning–based approach to artificial sensory feedback leads to optimal integration , 2014, Nature Neuroscience.

[37]  Tadashi Isa,et al.  Function of the nucleus accumbens in motor control during recovery after spinal cord injury , 2015, Science.

[38]  L. Miller,et al.  Brain-controlled neuromuscular stimulation to drive neural plasticity and functional recovery , 2015, Current Opinion in Neurobiology.

[39]  Jennifer A. Semrau,et al.  Relationship Between Visuospatial Neglect and Kinesthetic Deficits After Stroke , 2015, Neurorehabilitation and neural repair.

[40]  Matthew T. Kaufman,et al.  A neural network that finds a naturalistic solution for the production of muscle activity , 2015, Nature Neuroscience.

[41]  Surya Ganguli,et al.  On simplicity and complexity in the brave new world of large-scale neuroscience , 2015, Current Opinion in Neurobiology.

[42]  Stephen T. Foldes,et al.  Intracortical microstimulation of human somatosensory cortex , 2016, Science Translational Medicine.

[43]  Naoshige Uchida,et al.  Demixed principal component analysis of neural population data , 2014, eLife.

[44]  Stephen H Scott,et al.  Dynamic Multisensory Integration: Somatosensory Speed Trumps Visual Accuracy during Feedback Control , 2016, The Journal of Neuroscience.

[45]  Heidi Johansen-Berg,et al.  Revealing the neural fingerprints of a missing hand , 2016, eLife.

[46]  R. Brownstone,et al.  Spinal microcircuits comprising dI3 interneurons are necessary for motor functional recovery following spinal cord transection , 2016, eLife.

[47]  Hansjörg Scherberger,et al.  Neural Population Dynamics during Reaching Are Better Explained by a Dynamical System than Representational Tuning , 2016, PLoS Comput. Biol..

[48]  J. Maxwell Donelan,et al.  Myoelectric Control for Adaptable Biomechanical Energy Harvesting , 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[49]  Hansjörg Scherberger,et al.  Object vision to hand action in macaque parietal, premotor, and motor cortices , 2016, eLife.

[50]  Mario Dipoppa,et al.  Suite2p: beyond 10,000 neurons with standard two-photon microscopy , 2016, bioRxiv.

[51]  Devika Narain,et al.  Flexible control of speed of cortical dynamics , 2017, bioRxiv.

[52]  Lee E. Miller,et al.  Neural Manifolds for the Control of Movement , 2017, Neuron.

[53]  Reza Shadmehr,et al.  Distinct neural circuits for control of movement vs. holding still. , 2017, Journal of neurophysiology.

[54]  Mackenzie W. Mathis,et al.  Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice , 2017, Neuron.

[55]  Lee E. Miller,et al.  A neural population mechanism for rapid learning , 2017 .