Reading List 196
More than 20 trainees and PIs from the Sensorimotor Superlab at Western University contribute to this reading list. Here are the articles that have interested us this week.
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Are you interested in graduate school or a postdoc in sensorimotor neuroscience?
Apply to the Sensorimotor SuperLab.
We have a number of open positions for Graduate Students interested in pursuing studies within one of the many research projects currently underway in the Gribble lab.
We are also searching for a Postdoctoral Fellow to work on a specific project involving cerebellar imaging: https://www.diedrichsenlab.org/open_postdoc_cerebellum.htm. Experience with behavioral work in humans, magnetic resonance imaging, and/or computational modeling are desired.
Other Postdoctoral Fellow positions are also available in the Gribble and Pruszynski labs.
For more details and for application instructions please see: https://superlab.ca/join
Sensory prediction error drives subconscious motor learning outside of the laboratory
Albert ST, Blaum E, Blustein D
Hebbian priming of human spinal motor learning
Bjørndal JR, Beck MM, Jespersen L, Christiansen L, Lundbye-Jensen J
Ventral premotor cortex influences spinal cord activation during force generation
Braaß H, Feldheim J, Chu Y, Tinnermann A, Finsterbusch J, Büchel C, Schulz R, Gerloff C
People adapt a consistent center-of-mass trajectory in a novel force field
Bucklin MA, Brown G, Gordon KE
Larger and denser: an optimal design for surface grids of EMG electrodes to identify greater and more representative samples of motor units
Caillet AH, Avrillon S, Kundu A, Yu T, Phillips ATM, Modenese L, Farina D
Ongoing movement controls sensory integration in the dorsolateral striatum
de la Torre-Martinez R, Ketzef M, Silberberg G
Increased cortical inhibition immediately following brief motor memory reactivation supports reconsolidation and overnight offline learning gains
Eisenstein T, Furman-Haran E, Tal A
Pupil size encodes uncertainty during exploration
Fan H, Burke TD, Sambrano D, Dial E, Phelps EA, Gershman SJ
The developmental basis of fingerprint pattern formation and variation
Glover JD et al.
How to construct liquid-crystal spectacles to control vision of real-world objects and environments
Gomez MA, Snow JC
Behav Res Methods
Biomimetic Multi-channel Microstimulation of Somatosensory Cortex Conveys High Resolution Force Feedback for Bionic Hands
Greenspon CM et al.
Age-related increases in reaction time result from slower preparation, not delayed initiation
Hardwick RM, Forrence AD, Costello MG, Zackowski K, Haith AM
Statistical power in network neuroscience
Helwegen K, Libedinsky I, van den Heuvel MP
Trends Cogn Sci
Rate versus synchrony codes for cerebellar control of motor behavior
Herzfeld DJ, Joshua M, Lisberger SG
Loss of set in muscle responses to limb perturbations during cerebellar dysfunction
Hore J, Vilis T
Whole mouse body histology using standard IgG antibodies
Mai H, Luo J, Hoeher L, Al-Maskari R, Horvath I, Paetzold JC, Todorov M, Hellal F, Ertürk A
Parallel movement planning is achieved via an optimal preparatory state in motor cortex
Meirhaeghe N, Riehle A, Brochier T
Epidural stimulation of the cervical spinal cord for post-stroke upper-limb paresis
Powell MP et al.
Reorganization of corticospinal projections after prominent recovery of finger dexterity from partial spinal cord injury in macaque monkeys
Sawada M, Yoshino-Saito K, Ninomiya T, Oishi T, Yamashita T, Onoe H, Takada M, Nishimura Y, Isa T
Manipulating the rapid consolidation periods in a learning task affects general skills more than statistical learning and changes the dynamics of learning
Szücs-Bencze L, Fanuel L, Szabó N, Quentin R, Nemeth D, Vékony T
A wearable platform for closed-loop stimulation and recording of single-neuron and local field potential activity in freely moving humans
Topalovic U et al.
Tracking neural activity from the same cells during the entire adult life of mice
Zhao S, Tang X, Tian W, Partarrieu S, Liu R, Shen H, Lee J, Guo S, Lin Z, Liu J
MotorNet: a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks
Codol O, Michaels JA, Kashefi M, Pruszyski JA, Gribble PL
Myomatrix arrays for high-definition muscle recording
Chung B et al.
You can look at an archive of our previous posts here: https://superlab.ca
Articles appear on this list because they caught our eye, but their appearance here is not necessarily an endorsement of the work. We hope that you find something on this list you might not otherwise have come across—but, as always, please read with a critical eye.