Friedrich Miescher Institute

Temporal prediction captures retinal spiking responses across animal species

Abstract The retina’s role in visual processing has been viewed as two extremes: an efficient compressor of incoming visual stimuli, akin to a camera, or a predictor of future stimuli. Addressing this dichotomy, we developed a spiking neural network model of the retina trained on...

Beyond benchmarking: an expert-guided consensus approach to spatially aware clustering

Spatial omics technologies have revolutionized the study of tissue architecture and cellular heterogeneity by integrating molecular profiles with spatial localization. In spatially resolved transcriptomics, delineating higher-order anatomical structures is critical for understand...

Teaching Signal Synchronization in Deep Neural Networks with Prospective Neurons

Abstract Working memory requires the brain to maintain information from the recent past to guide ongoing behavior. Neurons can contribute to this capacity by slowly integrating their inputs over time, creating persistent activity that outlasts the original stimulus. However, when...