Here are the articles that we are reading this week.

Enjoy!
—Paul, Andrew & Jörn

1

Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface
Trautmann, E.M., O’Shea, D.J., Sun, X., Marshel, J.H., Crow, A., Hsueh, B., Vesuna, S., Cofer, L., Bohner, G., Allen, W., Kauver, I., Quirin, S., Macdougall, M., Chen, Y., Whitmire, M.P., Ramakrishnan, C., Sahani, M., Seidemann, E., Ryu, S., Deisseroth, K., Shenoy, K.
bioRxiv, 780486 (2019)
https://www.biorxiv.org/content/10.1101/780486v2

Also check out the tweeprint.

2

Demonstration of a portable intracortical brain-computer interface
Weiss, J.M., Gaunt, R.A., Franklin, R., Boninger, M.L., and Collinger, J.L.
Rehabilitation Medicine and Physical Therapy (2019)
https://www.medrxiv.org/content/10.1101/19004721v1.abstract

3

Learning and adaptation in speech production without a vocal tract
Thompson, M.M.C., Houde, J.F., and Nagarajan, S.S.
Sci Rep 9, 13582 (2019)
https://dx.doi.org/10.1038/s41598-019-49074-4

4

Feedback adaptation to unpredictable force fields in 250ms
Crevecoeur, F., Mathew, J., Bastin, M., and Lefevre, P.
bioRxiv, 773002 (2019)
https://www.biorxiv.org/content/10.1101/773002v1.abstract

5

Coordination amongst quadriceps muscles suggests neural regulation of internal joint stresses, not simplification of task performance
Alessandro, C., Prashara, A., Tentler, D.P., Yeh, H.-Y., Barroso, F.O., and Tresch, M.C.
bioRxiv, 781534 (2019)
https://www.biorxiv.org/content/10.1101/781534v1

6

Neural Organization of Hierarchical Motor Sequence Representations in the Human Neocortex
Yokoi, A., and Diedrichsen, J.
Neuron (2019)
https://dx.doi.org/10.1016/j.neuron.2019.06.017

Also check out the Previews article by Aaron Wong and John Krakauer here.

7

Stochastic optimal open-loop control as a theory of force and impedance planning via muscle co-contraction
Berret, B., and Jean, F.
bioRxiv, 780056 (2019)
https://www.biorxiv.org/content/10.1101/780056v1

8

Layer-dependent activity in human prefrontal cortex during working memory
Finn, E.S., Huber, L., Jangraw, D.C., and Bandettini, P.A.
bioRxiv, 425249 (2019)
https://www.biorxiv.org/content/early/2018/09/24/425249

9

Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning–based 2D pose estimator
Sato, K., Nagashima, Y., Mano, T., Iwata, A., and Toda, T.
bioRxiv, 782367 (2019)
https://www.biorxiv.org/content/10.1101/782367v1

10

Pretraining boosts out-of-domain robustness for pose estimation
Mathis, A., Yüksekgönül, M., Rogers, B., Bethge, M., and Mathis, M.W.
arXiv [cs.CV] (2019)
https://arxiv.org/abs/1909.11229


Archive

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


Disclaimer

Please keep in mind that the appearance of a paper on our reading list should not necessarily be considered an endorsement of the work unless of course we explicitly endorse it, for example in a blurb. As always, please read papers with a critical eye.