Human-Computer Interaction ePosters

NEST [1] is a well-established open source simulator providing researchers in computational neuroscience with the ability to perform high-performance simulations of spiking neuronal networks. However, as the simulation kernel is written in C++ for performance reasons, this makes it challenging for researchers without…

Robotic-assisted rehabilitation therapies play a crucial role in improving motor recovery by providing precise, repeatable, and intensive therapeutic interventions that traditional methods often lack [1,2,3]. Nonetheless, their adaptability is restricted due to a lack of comprehensive data on patients' biophysical…

Error-related potentials (ErrPs) represent the neural signature of error processing in the brain and numerous studies have demonstrated their reliable detection using non-invasive techniques such as electroencephalography (EEG). Over recent decades, the brain-computer interface (BCI) community has shown growing…

Brain atlases like the Allen Mouse Brain Common Coordinate Framework (CCFv3) are essential tools to guide the integration of different sources of neuroscience data. In this study, we introduce a novel method for curating brain atlas regions that leverages the strength of Houdini and Python software. This approach…

Virtual reality (VR) technologies allow to reproduce the working process. Forming the correct dynamics, personification of training and quality control can be solved using the haptic technology. We hypothesized that the use of haptic stimulation technology in combination with VR simulation of a working process will…

Joint exploration of behavior, genes and brain structure holds the promise to provide a better understanding of neural circuits than unimodal data analyses. Several consortia provide extensive data resources of different modalities. However, analyses of heteromodal data require the expertise of computer scientists for…

Due to the aging population and life digitalization, humanoid robots could be seen as potential community resources to accompany the elderly, support remote work, and improve individuals' mental or physical health. To enhance human-robot interaction, it is essential for robots to become more socialized via processing…

The motor imagery-based Brain-Computer Interface (BCI) converts the motor intention into a control signal by categorizing the electrophysiological patterns of various imaginative activities using ECoG, which has a broader frequency range and more excellent input quality than EEG. Nevertheless, because ECoG is an…