Reading List 179

readinglist
Published

October 14, 2022

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.

Enjoy!
—the superlab

1

Motor Learning Drives Dynamic Patterns of Intermittent Myelination on Learning-activated Axons
Bacmeister CM, Huang R, Osso LA, Thornton MA, Conant L, Chavez A, Poleg-Polsky A, Hughes EG
bioRxiv:2021.10.13.464319

2

Neural representational geometry correlates with behavioral differences between monkeys
Fascianelli V, Stefanini F, Tsujimoto S, Genovesio A, Fusi S
bioRxiv:2022.10.05.511024

3

Feedback-based motor control can guide plasticity and drive rapid learning
Feulner B, Perich MG, Miller LE, Clopath C, Gallego JA
bioRxiv:2022.10.06.511108

4

Acrobatic squirrels learn to leap and land on tree branches without falling
Hunt NH, Jinn J, Jacobs LF, Full RJ
Science 373:697–700

5

Attribution of sensory prediction error to perception of muscle fatigue
Ito S, Kimura T, Gomi H
Sci Rep

6

Mussa-Ivaldi FA, Morasso P, Zaccaria R
Kinematic networks
Biol Cybern

7

Prior information improves tactile representation in primary somatosensory cortex
Kassraian P, Rabe F, Maathuis M, Wenderoth N
bioRxiv:2022.10.10.511201

8

Ventrolateral Prefrontal Cortex Contributes to Human Motor Learning
Kumar N, Sidarta A, Smith C, Ostry DJ
eNeuro

9

Movement is governed by rotational neural dynamics in spinal motor networks
Lindén H, Petersen PC, Vestergaard M, Berg RW
Nature

10

Flexible neural control of motor units
Marshall NJ, Glaser JI, Trautmann EM, Amematsro EA, Perkins SM, Shadlen MN, Abbott LF, Cunningham JP, Churchland MM
Nat Neurosci

11

Cerebellar GABA Change during Visuomotor Adaptation Relates to Adaptation Performance and Cerebellar Network Connectivity: A Magnetic Resonance Spectroscopic Imaging Study
Nettekoven C, Mitchell L, Clarke WT, Emir U, Campbell J, Johansen-Berg H, Jenkinson N, Stagg CJ
J Neurosci

12

Structured random receptive fields enable informative sensory encodings
Pandey B, Pachitariu M, Brunton BW, Harris KD
bioRxiv:2021.09.09.459651

13

Recurrent neural networks with explicit representation of dynamic latent variables can mimic behavioral patterns in a physical inference task
Rajalingham R, Piccato A, Jazayeri M
Nat Commun

14

Visual feedback control of hand movements
Saunders JA, Knill DC
J Neurosci 24:3223–3234

15

Fast prediction in marmoset reach-to-grasp movements for dynamic prey
Shaw L, Wang KH, Mitchell J
bioRxiv:2022.10.08.511417

16

Personalizing exoskeleton assistance while walking in the real world
Slade P, Kochenderfer MJ, Delp SL, Collins SH
Nature

17

In vivo direct imaging of neuronal activity at high temporospatial resolution
Toi PT, Jang HJ, Min K, Kim S-P, Lee S-K, Lee J, Kwag J, Park J-Y
Science

18

Precise motor rhythmicity relies on motor network responsivity
Uehara K, Togo H, Hanakawa T
Cereb Cortex

19

Pupil diameter tracked during motor adaptation in humans
Yokoi A, Weiler J
J Neurophysiol

Archive

You can look at an archive of our previous posts here: https://superlab.ca

Disclaimer

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.