Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.
Christos Sourmpis, Carl CH Petersen ... Guillaume Bellec
Multi area RNN models fitted to in-vivo cortical activity predict behavioral changes induced by optogenetic perturbations, if biologically informed connectivity constraints on the optogenetically targeted inhibitory neurons are applied.
A simple statistical model captures the essential features of object motion in a large database of natural scenes, helping to shed light on the challenges posed to sensory and motor systems.
Trained immunity provides a unifying framework linking innate immune memory to both protective and maladaptive inflammation across neurological diseases, offering new insights into disease mechanisms and potential therapeutic strategies.
