How does sensorimotor (S1/M1) cortex support adaptive motor control?  Come find out in our latest preprint, which spans the development of a full adult forelimb model + physics simulations, neural-modeling for control, complex 🐭behavior 🕹️, large-scale imaging, and of course @DeepLabCut and @CEBRA!  We hypothesized that S1 supports motor learning by computing prediction errors. To tackle this, we needed to understand what is being represented, and no studies have reported what forelimb S1 represents during learning in mice🧠🐭. Moreover, this requires modeling the body🦾: kinematics, torques, force, muscle activations, & proprioception (muscle spindles & GTOs).  After our 7 year journey, we have an answer: S1 & M1 represent muscle-level features. During learning, computational motifs map to functional types (like muscle-encoding), and neural dynamics in S1 change & encode sensorimotor prediction errors!  biorxiv.org/content/10.1101/… 🧵👇

Scientists have uncovered the secrets of multispecies hunting! Octopuses & fish team up, with fish guiding the hunt and octopuses capturing hidden prey. #UniKonstanz @CBehav+@MPI_animalbehav research reveals incredible interspecies teamwork. @NatureEcoEvo t1p.de/8543w

Here is Charlie, making saccades to targets, filling the tube with food, harvesting the food, and finally cleaning his lips. Meanwhile, there is a mossy fiber providing efference copy to the cerebellum for the tongue movements. Work of @Nazanin_Mrezaei and @JDoostmohammadi