Reading List 28

readinglist
Published

August 2, 2019

Here are the articles that we are reading this week.

Enjoy!
—Paul, Andrew & Jörn

1

Motor learning without doing: use-dependent plasticity induced by motor imagery
Ruffino, C., Gaveau, J., Papaxanthis, C., and Lebon, F.
bioRxiv, 716357 (2019)
https://www.biorxiv.org/content/10.1101/716357v1.abstract?%3Fcollection=

2

Grip force preparation for collisions
Kuling, I.A., Salmen, F., and Lefèvre, P.
Exp. Brain Res. (2019)
https://doi.org/10.1007/s00221-019-05606-y

3

A review of grasping as the movements of digits in space
Smeets, J.B.J., van der Kooij, K., and Brenner, E.
J. Neurophysiol. (2019)
https://dx.doi.org/10.1152/jn.00123.2019

4

Increase in Grasp Force Reflects a Desire to Improve Movement Precision
Takagi, A., Kambara, H., and Koike, Y.
eNeuro 6 (2019)
https://dx.doi.org/10.1523/ENEURO.0095-19.2019

5

Dopamine-dependent loss aversion during effort-based decision-making
Chen, X., Voets, S., Jenkinson, N., and Galea, J.M.
bioRxiv, 714840 (2019)
https://www.biorxiv.org/content/10.1101/714840v1

6

Metabolic constraints on synaptic learning and memory
Karbowski, J.
J. Neurophysiol. (2019)
https://dx.doi.org/10.1152/jn.00092.2019

7

Reward prediction error does not explain movement selectivity in DMS-projecting dopamine neurons
Lee, R.S., Mattar, M.G., Parker, N.F., Witten, I.B., and Daw, N.D.
bioRxiv, 447532 (2019)
https://www.biorxiv.org/content/10.1101/447532v2

8

Brain state stability during working memory is explained by network control theory, modulated by dopamine D1/D2 receptor function, and diminished in schizophrenia
Braun, U., Harneit, A., Pergola, G., Menara, T., Schaefer, A., Betzel, R.F., Zang, Z., Schweiger, J.I., Schwarz, K., Chen, J., Blasi, G., Bertolini, A., Durstewitz, D., Pasqualetti, F., Schwarz, E., Meyer-Lindenberg, A., Bassett, D.S., Tost, H.
arXiv [q-bio.NC] (2019)
https://arxiv.org/abs/1906.09290

9

Resynthesizing behavior through phylogenetic refinement
Cisek, P.
Atten Percept Psychophys. (2019)
https://dx.doi.org/10.3758/s13414-019-01760-1

10

Julia: come for the syntax, stay for the speed
Perkel, J.M.
Nature 572, 141 (2019)
https://dx.doi.org/10.1038/d41586-019-02310-3

A dispatch from Nature on a relatively new and increasingly interesting programming language for scientific computing, called Julia. The promise is the interactivity, convenience and rich open-source package environment you get in Python, R, and other interpreted languages, but with the speed you get in compiled languages like C and Fortran. It’s a language to keep an eye on. There was a recent conference called JuliaCon, here is a link to videos of all of the talks.

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.