Month: September 2023

BCCN23: Investigation of the Interplay of Model-Based and Model-Free Learning Using Reinforcement Learning

Posted on By jannis
Conference participation, scientific publication

Investigation of the Interplay of Model-Based and Model-Free Learning Using Reinforcement Learning The reward prediction error hypothesis of dopamine in the brain states that activity of dopaminergic neurons in certain brain regions correlates with the reward prediction error that corresponds to the temporal difference error, often used as a learning signal in model free reinforcement … Read More “BCCN23: Investigation of the Interplay of Model-Based and Model-Free Learning Using Reinforcement Learning” »

BCCN23: The link between muscle activity and upper limb kinematics

Posted on By jannis
teaching

The upper limbs are crucial in performing daily tasks that require strength, a wide range of motion, and precision. To achieve coordinated motion, planning and timing are critical. Sensory information about the target and the current body state is essential, as well as integrating past experiences, represented by pre-learned inverse dynamics that generate associated muscle … Read More “BCCN23: The link between muscle activity and upper limb kinematics” »

BCCN23: Variability study of human hand motion during 3D center-out tasks captured for the diagnosis of movement disorders

Posted on By jannis
teaching

Variability analysis bears the potential to differentiate between healthy and pathological human movements [1]. Our study is conducted in the context of developing a portable glove for the diagnosis of movement disorders. This proposal has methodical as well as technical requirements. Generally, the identification of movement disorders via an analysis of motion data needs to … Read More “BCCN23: Variability study of human hand motion during 3D center-out tasks captured for the diagnosis of movement disorders” »

BCCN23: Exploring Error-related Potentials in Adaptive Brain-Machine Interfaces: Challenges and Investigation of Occurrence and Detection Ratios

Posted on By jannis
Conference participation, scientific publication

Non-invasive techniques like EEG can record error-related potentials (ErrPs), neural signals associated with error processing and awareness. ErrPs are generated in response to self-made and external errors, including those produced by the BMI. Since ErrPs are implicitly elicited and don’t add extra workload for the subject, they serve as a natural and intrinsic feedback source … Read More “BCCN23: Exploring Error-related Potentials in Adaptive Brain-Machine Interfaces: Challenges and Investigation of Occurrence and Detection Ratios” »