Reading List 47


December 13, 2019

Here are the articles that we are reading this week.

—Paul, Andrew & Jörn


Continuous, multidimensional coding of 3D complex tactile stimuli by primary sensory neurons of the vibrissal system
Bush NE, Solla SA, Hartmann MJZ
bioRxiv:869255 (2019)


Somatosensory Cortex Efficiently Processes Touch Located Beyond the Body
Miller LE, Fabio C, Ravenda V, Bahmad S, Koun E, Salemme R, Luauté J, Bolognini N, Hayward V, Farnè A
Curr Biol (2019)


Skill Acquisition is Enhanced by Reducing Trial-To-Trial Repetition
Vleugels LWE, Swinnen SP, Hardwick RM
bioRxiv:866046 (2019)


Functional connectivity between the cerebellum and somatosensory areas implements the attenuation of self-generated touch
Kilteni K, Ehrsson HH
J Neurosci (2019)


Imaging real-time tactile interaction with two-person dual-coil fMRI
Renvall V, Kauramäki J, Malinen S, Hari R, Nummenmaa L
bioRxiv:861252 (2019)


Binocular viewing geometry shapes the neural representation of the dynamic three-dimensional environment
Bonnen K, Czuba TB, Whritner JA, Kohn A, Huk AC, Cormack LK
Nat Neurosci (2019)


Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals
Greene DJ et al.
Neuron (2019)


Voluntary and tremorogenic inputs to motor neuron pools of agonist/antagonist muscles in essential tremor patients
Puttaraksa G, Muceli S, Gallego JÁ, Holobar A, Charles SK, Pons JL, Farina D
J Neurophysiol 122:2043–2053 (2019)


Hierarchical motor control in mammals and machines
Merel J, Botvinick M, Wayne G
Nat Commun 10:5489 (2019)


Neurobehavioural signatures in race car driving
Lima IR, Haar S, Di Grassi L, Aldo Faisal A
bioRxiv:860056 (2019)

When we purport to study ecological actions, we often reduce their complexity by constraining behaviour and/or recording only a few variables of interest. In distict contrast to this approach, Lima and Colleagues present a rich dataset (including EEG, eyetracking, and kinematics) recorded from a professional racecar driver driving a high performance car on a racetrack. As technology for recording neurobehavioural data becomes more portable and robust, datasets like this will be easier to obtain; how can we design experimental paradigms to take advantage of high dimensional data without analysis and interpretation becoming even more of a bottleneck? —SR



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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.