Reading List 5
Here is what we’ve been reading this week:
Cichy, R.M., and Kaiser, D. (2019). Deep Neural Networks as Scientific Models. Trends Cogn. Sci.
D’Anna, E., Valle, G., Mazzoni, A., Strauss, I., Iberite, F., Patton, J., Petrini, F.M., Raspopovic, S., Granata, G., Di Iorio, R., et al. (2019). A closed-loop hand prosthesis with simultaneous intraneural tactile and position feedback. Science Robotics 4, eaau8892.
Darmohray, D.M., Jacobs, J.R., Marques, H.G., and Carey, M.R. (2019). Spatial and Temporal Locomotor Learning in Mouse Cerebellum. Neuron
Also check out this fantastic audio-visual visualization of split-belt treadmill adaptation in mice, posted on twitter. Turn up the sound!
Koch, G., Bonnì, S., Casula, E.P., Iosa, M., Paolucci, S., Pellicciari, M.C., Cinnera, A.M., Ponzo, V., Maiella, M., Picazio, S., et al. (2018). Effect of Cerebellar Stimulation on Gait and Balance Recovery in Patients With Hemiparetic Stroke: A Randomized Clinical Trial. JAMA Neurol.
Lacefield, C.O., Pnevmatikakis, E.A., Paninski, L., and Bruno, R.M. (2019). Reinforcement Learning Recruits Somata and Apical Dendrites across Layers of Primary Sensory Cortex. Cell Rep. 26, 2000–2008.e2.
Mendelsohn, A.I., Simon, C.M., Abbott, L.F., Mentis, G.Z., and Jessell, T.M. (2015). Activity Regulates the Incidence of Heteronymous Sensory-Motor Connections. Neuron 87, 111–123.
Muthukrishna, M., and Henrich, J. (2019). A problem in theory. Nature Human Behaviour
Ward, N.S., Brander, F., and Kelly, K. (2019). Intensive upper limb neurorehabilitation in chronic stroke: outcomes from the Queen Square programme. J. Neurol. Neurosurg. Psychiatry.
Introducing eLife’s first computationally reproducible article (2019). eLife.
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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. These are just papers that have caught our attention this week. As always, please read papers with a critical eye.