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Motor control refers to the process by which the nervous system coordinates the muscle and limbs to achieve a desired movement or set of actions. This includes the ability to anticipate, adjust and respond to deviations from the desired action.
A study using intracranial recordings in humans suggests that upcoming hand movements can be predicted by oscillatory brain features of the LFP signal.
The authors introduce Ouvrai, an open-source solution that facilitates the design and execution of remote virtual reality studies, capitalizing on the surge in virtual reality headset ownership.
Kalium channelrhodopsins (KCRs) are promising tools for optogenetic silencing. Here, the authors show that KCRs inhibit cellular excitability in flies, worms, and fish, establishing them as first-line tools for inhibiting diverse types of excitable cells.
The main direction of motor skill-specific information between rat primary motor cortex and dorsolateral striatum is shown to switch from cortex-predominant before learning to striatum-predominant after learning.
We show that nonlinear latent factors and structures in neural population activity can be modelled in a manner that allows for flexible dynamical inference, causally, non-causally and in the presence of missing neural observations. Further, the developed neural network model improves the prediction of neural activity, behaviour and latent neural structures.