The generation of discrete movement with distinct and stable time courses characterizes each human movement and reflect the need to perform catching and interception tasks and for timed action sequences, incorporating dynamically changing environmental constraints. Several lines of evidence suggest neuronal mechanism for the initiation of movements i.e. in the supplementary motor area (SMA) and the premotor cortex and for movement planning mechanism generating velocity profiles satisfying time constraints.
In order to meet the requirements of on-line evolving trajectories we propose a model, based on dynamical systems which describes goal directed trajectories in humans and generates trajectories for redundant anthropomorphic robotic arms. The analysis of the attractor dynamics based on the qualitative comparison with measurements of resulting trajectories taken from arm movement experiments with humans created a framework able to reproduce and to generate naturalistic human like arm trajectories.
The Iossifidis Lab is excited to announce our participation in the Bernstein Conference 2024! Our team contributed five diverse presentations, highlighting our latest advancements in computational neuroscience. From neural network dynamics to brain-inspired algorithms, our research sparked engaging discussions and collaborations. The conference proved to be an incredible platform for knowledge exchange and networking. We … Read More “Iossifidis Lab at Bernstein Conference 2024” »