Information Processing

Information processing research investigates how biological and artificial systems represent, transform, and utilize information. Current efforts focus on developing more biologically realistic models, including spiking neural networks and models incorporating intrinsic neuronal mechanisms like spike thresholds, and on integrating diverse data sources (e.g., EEG, fMRI) through techniques like latent representation learning. These advancements aim to improve the efficiency and accuracy of artificial intelligence systems while also providing deeper insights into the workings of the brain, with potential applications in brain-computer interfaces and neuroscience.