Without being conscious of it, our motor system is constantly solving computationally challenging problems in ways that astonish both roboticists and neuroscientists. We develop computational models of animal movement to understand how the brain generates movement and design novel rehabilitation therapies and assistive devices for patients with movement disorders. We collaborate closely with neuroscientists, clinicians and roboticists to study the brain and help patients achieve a better quality of life.
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coniii
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Convenient Interface to Inverse Ising (ConIII)
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autolfads-tf2
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- MouseArmImitationLearning Public
This is an imitation learning project which uses reinforcmenent learning to train deep neural networks to control biomechanical and torque driven models by minimizing the difference between a desired kinematic motion and the actual motion enacted by a network
Al-Borno-Lab/MouseArmImitationLearning’s past year of commit activity - ising_EnergyOverTime Public
Al-Borno-Lab/ising_EnergyOverTime’s past year of commit activity - Vibrotactile_Clinic_Source_Code_2026 Public
Release of source code for pre-print on vibrotactile stimulation
Al-Borno-Lab/Vibrotactile_Clinic_Source_Code_2026’s past year of commit activity - mousearm Public
Al-Borno-Lab/mousearm’s past year of commit activity - .github Public
Al-Borno-Lab/.github’s past year of commit activity - matteos_arm Public
Al-Borno-Lab/matteos_arm’s past year of commit activity - baseCebra-analysis Public
Al-Borno-Lab/baseCebra-analysis’s past year of commit activity - autolfads-tf2 Public Forked from snel-repo/autolfads-tf2
A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Al-Borno-Lab/autolfads-tf2’s past year of commit activity
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