Buscar recursos académicos

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

Abstract Monitoring actions and outcomes is essential for flexible adaptation to environmental demands. Information about errors is important regardless of whether it is internally generated or externally signaled. Follo...

Abstract The growing integration of renewable energy in both islanded and interconnected microgrids has rendered Cyber-physical stability and resilience a vital area of research. Conventional controllers, including PID a...

Abstract Electroencephalographic neurofeedback (EEG-NF) has been proposed as a promising technique to modulate brain activity through real-time EEG-based feedback. Alpha neurofeedback in particular is believed to induce ...

Abstract This study explores the use of an upper-limb wearable exoskeleton for teaching violin technique to novices through haptic-assisted training. The educational potential of this technology was evaluated using a fra...

Abstract Top-down trophic interactions are major drivers of microbiome dynamics, yet their outcomes are difficult to predict and their consequences for pathogen control remain unclear. We combine synthetic bacterial comm...

Abstract We propose a method that enables large language models (LLMs) to control embodied agents through the generation of control policies that directly map continuous observation vectors to continuous action vectors. ...

Abstract Transcriptional master regulators drive cell fate transitions. Peroxisome proliferator-activated receptor γ (PPARγ) is the master regulator of adipogenesis, and its expression must therefore be tightly regulat...

Abstract Beach erosion represents a major hazard to coastal regions worldwide, yet the role of fluvial floods remains an understudied component of beach dynamics. Accounting for fluvial flooding is essential, as its negl...

Abstract Schizophrenia spectrum disorders (SSD) feature deficits in movement intention, predictive mechanisms, and agency. While prior work characterised BOLD amplitude during movement preparation and temporal dynamics a...

Abstract Working memory training (WMT) is widely used to enhance cognitive task performance, yet traditional delivery poses challenges for sustained implementation; computerised working memory training (CWMT) provides a ...

Abstract The reflex arc is fundamental to the physiology of posture and robust locomotion. Mimicking biological reflexes in engineered systems has, therefore, high potential to improve robustness and learning performance...